Overview

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Dataset statistics

Number of variables134
Number of observations26208
Missing cells1452
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 MiB
Average record size in memory1.1 KiB

Variable types

DateTime1
Numeric113
Categorical19
Boolean1

Dataset

DescriptionSix-Month Monitoring Dataset from a 10-Turbine Onshore Wind Farm in Greece.
URLhttps://doi.org/10.5281/zenodo.14546479

Alerts

Gear Oil Temp. Avg. [°C] has constant value "999.0" Constant
Gear Bearing Temp. Avg. [°C] has constant value "999.0" Constant
Gear Oil TemperatureLevel2_3 Avg. [°C] has constant value "0.0" Constant
Ambient WindSpeed Estimated Avg. [m/s] has constant value "0.0" Constant
Grid Production PossibleInductive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Max. [var] has constant value "0.0" Constant
Grid Production PossibleInductive Min. [var] has constant value "0.0" Constant
Grid Production PossibleInductive StdDev [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Avg. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Max. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive Min. [var] has constant value "0.0" Constant
Grid Production PossibleCapacitive StdDev [var] has constant value "0.0" Constant
Reactive power set point [var] has constant value "0.0" Constant
Spinner Temp. SlipRing Avg. [°C] has constant value "999.0" Constant
HourCounters Average Total Avg. [h] has constant value "600.0" Constant
Active power generator 0, Total accumulated [W] is highly overall correlated with Active power generator 1, Total accumulated [W] and 25 other fieldsHigh correlation
Active power generator 1, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Active power generator 2, Total accumulated [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Active power limit [W] is highly overall correlated with missing_dataHigh correlation
Active power limit source is highly overall correlated with HourCounters Average GridOn Avg. [h] and 2 other fieldsHigh correlation
Ambient Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Ambient WindDir Absolute Avg. [°] is highly overall correlated with Avg. direction [°] and 1 other fieldsHigh correlation
Ambient WindDir Relative Avg. [°] is highly overall correlated with missing_dataHigh correlation
Ambient WindSpeed Avg. [m/s] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 55 other fieldsHigh correlation
Ambient WindSpeed Max. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Ambient WindSpeed Min. [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Ambient WindSpeed StdDev [m/s] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Ambient ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Avg. direction [°] is highly overall correlated with Ambient WindDir Absolute Avg. [°] and 1 other fieldsHigh correlation
Blades PitchAngle Avg. [°] is highly overall correlated with Blades PitchAngle Max. [°] and 9 other fieldsHigh correlation
Blades PitchAngle Max. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 10 other fieldsHigh correlation
Blades PitchAngle Min. [°] is highly overall correlated with Blades PitchAngle Avg. [°] and 8 other fieldsHigh correlation
Blades PitchAngle StdDev [°] is highly overall correlated with Ambient WindSpeed StdDev [m/s] and 4 other fieldsHigh correlation
Controller Ground Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Controller Hub Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Controller Top Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 27 other fieldsHigh correlation
Controller VCP ChokecoilTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Controller VCP Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 31 other fieldsHigh correlation
Controller VCP WaterTemp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
First Alarm parameter 1 in 10 min frame is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 4 other fieldsHigh correlation
First Alarm parameter 2 in 10 min frame is highly overall correlated with missing_dataHigh correlation
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Gear Bearing TemperatureHSMiddle Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Gear Bearing TemperatureHSRotorEnd Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Gear Bearing TemperatureHollowShaftRotor Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Gear Oil TemperatureBasis Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Gear Oil TemperatureLevel1 Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 38 other fieldsHigh correlation
Generator 1 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Generator 2 hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Generator Bearing Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator Bearing2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Generator CoolingWater Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Generator Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Generator Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Generator Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Generator RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Generator RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Generator RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Generator RPM StdDev [RPM] is highly overall correlated with Rotor RPM StdDev [RPM] and 1 other fieldsHigh correlation
Generator SlipRing Temp. Avg. [°C] is highly overall correlated with Controller Top Temp. Avg. [°C] and 8 other fieldsHigh correlation
Grid Busbar Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 50 other fieldsHigh correlation
Grid InverterPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid Production CosPhi Avg. is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 51 other fieldsHigh correlation
Grid Production CurrentPhase1 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Grid Production CurrentPhase2 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Grid Production CurrentPhase3 Avg. [A] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly overall correlated with Grid Production VoltagePhase1 Avg. [V] and 3 other fieldsHigh correlation
Grid Production PossiblePower Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid Production PossiblePower Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 56 other fieldsHigh correlation
Grid Production PossiblePower Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production PossiblePower StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Grid Production Power Max. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Grid Production Power Min. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid Production Power StdDev [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 53 other fieldsHigh correlation
Grid Production ReactivePower Avg. [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 24 other fieldsHigh correlation
Grid Production ReactivePower Max. [W] is highly overall correlated with Ambient WindSpeed Max. [m/s] and 23 other fieldsHigh correlation
Grid Production ReactivePower Min. [W] is highly overall correlated with Blades PitchAngle Min. [°] and 8 other fieldsHigh correlation
Grid Production ReactivePower StdDev [W] is highly overall correlated with Blades PitchAngle Avg. [°] and 8 other fieldsHigh correlation
Grid Production VoltagePhase1 Avg. [V] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 39 other fieldsHigh correlation
Grid Production VoltagePhase2 Avg. [V] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 32 other fieldsHigh correlation
Grid Production VoltagePhase3 Avg. [V] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 52 other fieldsHigh correlation
Grid RotorInvPhase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Grid RotorInvPhase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid RotorInvPhase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
Grid ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Grid on hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
HVTrafo AirOutlet Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 37 other fieldsHigh correlation
HVTrafo Phase1 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
HVTrafo Phase2 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
HVTrafo Phase3 Temp. Avg. [°C] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
HourCounters Average AlarmActive Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
HourCounters Average AmbientOk Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
HourCounters Average Gen1 Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 54 other fieldsHigh correlation
HourCounters Average Gen2 Avg. [h] is highly overall correlated with Grid Production ReactivePower Min. [W] and 6 other fieldsHigh correlation
HourCounters Average GridOk Avg. [h] is highly overall correlated with HourCounters Average AmbientOk Avg. [h] and 3 other fieldsHigh correlation
HourCounters Average GridOn Avg. [h] is highly overall correlated with Active power limit source and 3 other fieldsHigh correlation
HourCounters Average Run Avg. [h] is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
HourCounters Average ServiceOn Avg. [h] is highly overall correlated with Active power limit source and 5 other fieldsHigh correlation
HourCounters Average TurbineOk Avg. [h] is highly overall correlated with HourCounters Average AlarmActive Avg. [h] and 5 other fieldsHigh correlation
HourCounters Average WindOk Avg. [h] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
HourCounters Average Yaw Avg. [h] is highly overall correlated with missing_dataHigh correlation
Hydraulic Oil Temp. Avg. [°C] is highly overall correlated with missing_dataHigh correlation
Nacelle Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 32 other fieldsHigh correlation
Power factor set point is highly overall correlated with HourCounters Average GridOn Avg. [h] and 2 other fieldsHigh correlation
Power factor set point source is highly overall correlated with HourCounters Average GridOn Avg. [h] and 2 other fieldsHigh correlation
Production LatestAverage Active Power Gen 0 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 48 other fieldsHigh correlation
Production LatestAverage Active Power Gen 1 Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Production LatestAverage Active Power Gen 2 Avg. [W] is highly overall correlated with Grid Production ReactivePower Min. [W] and 6 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 0 Avg. [var] is highly overall correlated with Blades PitchAngle Avg. [°] and 35 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 1 Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 37 other fieldsHigh correlation
Production LatestAverage Reactive Power Gen 2 Avg. [var] is highly overall correlated with missing_dataHigh correlation
Production LatestAverage Total Active Power Avg. [W] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Production LatestAverage Total Reactive Power Avg. [var] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 49 other fieldsHigh correlation
Reactive power generator 0,Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Reactive power generator 1, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Reactive power generator 2, Total accumulated [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Rotor RPM Avg. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 57 other fieldsHigh correlation
Rotor RPM Max. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 58 other fieldsHigh correlation
Rotor RPM Min. [RPM] is highly overall correlated with Ambient WindSpeed Avg. [m/s] and 55 other fieldsHigh correlation
Rotor RPM StdDev [RPM] is highly overall correlated with Generator RPM StdDev [RPM] and 1 other fieldsHigh correlation
Run hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Service hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Spinner Temp. Avg. [°C] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
System Logs First Active Alarm No is highly overall correlated with First Alarm parameter 1 in 10 min frame and 5 other fieldsHigh correlation
Total Active power [W] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Total hour counter [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Total reactive power [var] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Turbine ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Wind ok hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
Yaw hours [h] is highly overall correlated with Active power generator 0, Total accumulated [W] and 25 other fieldsHigh correlation
missing_data is highly overall correlated with Active power generator 0, Total accumulated [W] and 116 other fieldsHigh correlation
Grid Production Frequency Avg. [Hz] is highly imbalanced (98.1%) Imbalance
Active power limit source is highly imbalanced (99.9%) Imbalance
Power factor set point is highly imbalanced (99.9%) Imbalance
Power factor set point source is highly imbalanced (99.9%) Imbalance
missing_data is highly imbalanced (99.5%) Imbalance
Grid Production VoltagePhase1 Avg. [V] is highly skewed (γ1 = -27.67282869) Skewed
Grid Production VoltagePhase2 Avg. [V] is highly skewed (γ1 = -28.53782553) Skewed
Active power limit [W] is highly skewed (γ1 = -56.1303255) Skewed
HourCounters Average GridOn Avg. [h] is highly skewed (γ1 = -98.94464374) Skewed
First Alarm parameter 2 in 10 min frame is highly skewed (γ1 = 50.87786284) Skewed
Total hour counter [h] is uniformly distributed Uniform
Grid on hours [h] is uniformly distributed Uniform
Grid ok hours [h] is uniformly distributed Uniform
Turbine ok hours [h] is uniformly distributed Uniform
Timestamp has unique values Unique
Generator RPM Max. [RPM] has 659 (2.5%) zeros Zeros
Generator RPM Min. [RPM] has 1587 (6.1%) zeros Zeros
Generator RPM Avg. [RPM] has 946 (3.6%) zeros Zeros
Generator RPM StdDev [RPM] has 822 (3.1%) zeros Zeros
Rotor RPM Max. [RPM] has 870 (3.3%) zeros Zeros
Rotor RPM Min. [RPM] has 1668 (6.4%) zeros Zeros
Rotor RPM Avg. [RPM] has 1273 (4.9%) zeros Zeros
Rotor RPM StdDev [RPM] has 7343 (28.0%) zeros Zeros
Grid Production ReactivePower Avg. [W] has 20020 (76.4%) zeros Zeros
Grid Production ReactivePower StdDev [W] has 7545 (28.8%) zeros Zeros
Grid Production PossiblePower Avg. [W] has 2657 (10.1%) zeros Zeros
Grid Production PossiblePower Max. [W] has 2621 (10.0%) zeros Zeros
Grid Production PossiblePower Min. [W] has 3013 (11.5%) zeros Zeros
Grid Production PossiblePower StdDev [W] has 3789 (14.5%) zeros Zeros
Blades PitchAngle Avg. [°] has 311 (1.2%) zeros Zeros
Blades PitchAngle StdDev [°] has 5310 (20.3%) zeros Zeros
HourCounters Average Run Avg. [h] has 296 (1.1%) zeros Zeros
HourCounters Average Gen1 Avg. [h] has 14777 (56.4%) zeros Zeros
HourCounters Average Gen2 Avg. [h] has 14658 (55.9%) zeros Zeros
HourCounters Average Yaw Avg. [h] has 11391 (43.5%) zeros Zeros
HourCounters Average ServiceOn Avg. [h] has 26114 (99.6%) zeros Zeros
HourCounters Average WindOk Avg. [h] has 5028 (19.2%) zeros Zeros
HourCounters Average AlarmActive Avg. [h] has 25819 (98.5%) zeros Zeros
Production LatestAverage Active Power Gen 0 Avg. [W] has 20383 (77.8%) zeros Zeros
Production LatestAverage Active Power Gen 1 Avg. [W] has 14742 (56.2%) zeros Zeros
Production LatestAverage Active Power Gen 2 Avg. [W] has 14594 (55.7%) zeros Zeros
Production LatestAverage Reactive Power Gen 0 Avg. [var] has 20415 (77.9%) zeros Zeros
Production LatestAverage Reactive Power Gen 1 Avg. [var] has 19295 (73.6%) zeros Zeros
Production LatestAverage Reactive Power Gen 2 Avg. [var] has 23915 (91.3%) zeros Zeros
Production LatestAverage Total Reactive Power Avg. [var] has 13133 (50.1%) zeros Zeros
System Logs First Active Alarm No has 25819 (98.5%) zeros Zeros
First Alarm parameter 1 in 10 min frame has 25963 (99.1%) zeros Zeros
First Alarm parameter 2 in 10 min frame has 26183 (99.9%) zeros Zeros

Reproduction

Analysis started2025-05-15 12:29:03.221367
Analysis finished2025-05-15 12:29:34.697898
Duration31.48 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Timestamp
Date

Unique 

Distinct26208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 MiB
Minimum2020-01-01 00:00:00
Maximum2020-06-30 23:50:00
Invalid dates0
Invalid dates (%)0.0%
2025-05-15T14:29:34.738116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-15T14:29:34.821740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Generator RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1220
Distinct (%)4.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1274.5085
Minimum0
Maximum1891
Zeros659
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:34.907099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64
Q11070
median1483
Q31655
95-th percentile1738
Maximum1891
Range1891
Interquartile range (IQR)585

Descriptive statistics

Standard deviation516.72762
Coefficient of variation (CV)0.40543287
Kurtosis0.55890894
Mean1274.5085
Median Absolute Deviation (MAD)208
Skewness-1.3030305
Sum33388298
Variance267007.44
MonotonicityNot monotonic
2025-05-15T14:29:34.985807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 659
 
2.5%
1055 369
 
1.4%
1643 365
 
1.4%
1056 293
 
1.1%
1644 272
 
1.0%
1645 269
 
1.0%
1642 258
 
1.0%
1647 254
 
1.0%
1646 246
 
0.9%
1649 235
 
0.9%
Other values (1210) 22977
87.7%
ValueCountFrequency (%)
0 659
2.5%
1 37
 
0.1%
2 41
 
0.2%
3 49
 
0.2%
4 51
 
0.2%
5 38
 
0.1%
6 36
 
0.1%
7 31
 
0.1%
8 25
 
0.1%
9 25
 
0.1%
ValueCountFrequency (%)
1891 1
< 0.1%
1880 2
< 0.1%
1877 1
< 0.1%
1871 1
< 0.1%
1862 1
< 0.1%
1860 1
< 0.1%
1859 1
< 0.1%
1858 1
< 0.1%
1857 2
< 0.1%
1855 2
< 0.1%

Generator RPM Min. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1093
Distinct (%)4.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1056.0112
Minimum0
Maximum1636
Zeros1587
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:35.067374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11023
median1053
Q31497
95-th percentile1618
Maximum1636
Range1636
Interquartile range (IQR)474

Descriptive statistics

Standard deviation506.25177
Coefficient of variation (CV)0.47940001
Kurtosis-0.24918399
Mean1056.0112
Median Absolute Deviation (MAD)321
Skewness-0.92646994
Sum27664325
Variance256290.85
MonotonicityNot monotonic
2025-05-15T14:29:35.149668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1587
 
6.1%
1042 645
 
2.5%
1043 604
 
2.3%
1041 528
 
2.0%
1040 430
 
1.6%
1039 394
 
1.5%
1038 383
 
1.5%
1037 301
 
1.1%
1034 287
 
1.1%
1035 275
 
1.0%
Other values (1083) 20763
79.2%
ValueCountFrequency (%)
0 1587
6.1%
1 23
 
0.1%
2 32
 
0.1%
3 19
 
0.1%
4 15
 
0.1%
5 25
 
0.1%
6 12
 
< 0.1%
7 9
 
< 0.1%
8 8
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
1636 61
0.2%
1635 51
0.2%
1634 45
0.2%
1633 47
0.2%
1632 50
0.2%
1631 66
0.3%
1630 61
0.2%
1629 57
0.2%
1628 69
0.3%
1627 57
0.2%

Generator RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct1478
Distinct (%)5.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1168.019
Minimum0
Maximum1649
Zeros946
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:35.231672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q11049
median1262
Q31633
95-th percentile1641
Maximum1649
Range1649
Interquartile range (IQR)584

Descriptive statistics

Standard deviation510.6565
Coefficient of variation (CV)0.43719879
Kurtosis0.077366566
Mean1168.019
Median Absolute Deviation (MAD)326
Skewness-1.0845636
Sum30598594
Variance260770.06
MonotonicityNot monotonic
2025-05-15T14:29:35.309654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1639 3194
 
12.2%
1049 2429
 
9.3%
0 946
 
3.6%
1640 620
 
2.4%
1638 565
 
2.2%
1641 429
 
1.6%
1050 394
 
1.5%
1642 368
 
1.4%
1643 303
 
1.2%
1637 251
 
1.0%
Other values (1468) 16698
63.7%
ValueCountFrequency (%)
0 946
3.6%
1 126
 
0.5%
2 54
 
0.2%
3 45
 
0.2%
4 22
 
0.1%
5 18
 
0.1%
6 18
 
0.1%
7 11
 
< 0.1%
8 13
 
< 0.1%
9 15
 
0.1%
ValueCountFrequency (%)
1649 1
 
< 0.1%
1647 2
 
< 0.1%
1646 35
 
0.1%
1645 97
 
0.4%
1644 200
 
0.8%
1643 303
 
1.2%
1642 368
 
1.4%
1641 429
 
1.6%
1640 620
 
2.4%
1639 3194
12.2%

Generator RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct472
Distinct (%)1.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean52.443791
Minimum0
Maximum763
Zeros822
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:35.387555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median27
Q371
95-th percentile167
Maximum763
Range763
Interquartile range (IQR)63

Descriptive statistics

Standard deviation73.058034
Coefficient of variation (CV)1.3930731
Kurtosis13.735646
Mean52.443791
Median Absolute Deviation (MAD)22
Skewness3.1812636
Sum1373870
Variance5337.4764
MonotonicityNot monotonic
2025-05-15T14:29:35.469351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 1372
 
5.2%
0 822
 
3.1%
3 815
 
3.1%
5 740
 
2.8%
6 702
 
2.7%
7 666
 
2.5%
8 646
 
2.5%
4 637
 
2.4%
9 579
 
2.2%
10 563
 
2.1%
Other values (462) 18655
71.2%
ValueCountFrequency (%)
0 822
3.1%
1 366
 
1.4%
2 1372
5.2%
3 815
3.1%
4 637
2.4%
5 740
2.8%
6 702
2.7%
7 666
2.5%
8 646
2.5%
9 579
2.2%
ValueCountFrequency (%)
763 1
< 0.1%
744 1
< 0.1%
735 1
< 0.1%
733 1
< 0.1%
732 1
< 0.1%
726 1
< 0.1%
722 1
< 0.1%
718 1
< 0.1%
709 1
< 0.1%
708 1
< 0.1%

Generator Bearing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct59
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean49.371646
Minimum22
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:35.548563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile30
Q141
median49
Q358
95-th percentile69
Maximum80
Range58
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.701806
Coefficient of variation (CV)0.23701471
Kurtosis-0.72642395
Mean49.371646
Median Absolute Deviation (MAD)8
Skewness0.07194621
Sum1293389
Variance136.93227
MonotonicityNot monotonic
2025-05-15T14:29:35.630151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 1438
 
5.5%
41 1139
 
4.3%
43 932
 
3.6%
44 880
 
3.4%
46 825
 
3.1%
59 777
 
3.0%
48 775
 
3.0%
57 762
 
2.9%
40 753
 
2.9%
56 753
 
2.9%
Other values (49) 17163
65.5%
ValueCountFrequency (%)
22 5
 
< 0.1%
23 9
 
< 0.1%
24 6
 
< 0.1%
25 178
0.7%
26 184
0.7%
27 233
0.9%
28 243
0.9%
29 270
1.0%
30 377
1.4%
31 345
1.3%
ValueCountFrequency (%)
80 9
 
< 0.1%
79 5
 
< 0.1%
78 2
 
< 0.1%
77 40
 
0.2%
76 51
 
0.2%
75 16
 
0.1%
74 35
 
0.1%
73 176
0.7%
72 171
0.7%
71 334
1.3%

Generator Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct95
Distinct (%)0.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean53.69214
Minimum17
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:35.711709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q139
median47
Q366
95-th percentile95
Maximum111
Range94
Interquartile range (IQR)27

Descriptive statistics

Standard deviation20.142131
Coefficient of variation (CV)0.37514115
Kurtosis-0.4484578
Mean53.69214
Median Absolute Deviation (MAD)14
Skewness0.71754375
Sum1406573
Variance405.70546
MonotonicityNot monotonic
2025-05-15T14:29:35.789342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 1379
 
5.3%
39 1061
 
4.0%
41 1034
 
3.9%
42 859
 
3.3%
30 763
 
2.9%
29 718
 
2.7%
44 699
 
2.7%
38 646
 
2.5%
45 631
 
2.4%
31 621
 
2.4%
Other values (85) 17786
67.9%
ValueCountFrequency (%)
17 7
 
< 0.1%
18 6
 
< 0.1%
19 5
 
< 0.1%
20 4
 
< 0.1%
21 6
 
< 0.1%
22 13
 
< 0.1%
23 14
 
0.1%
24 24
 
0.1%
25 95
0.4%
26 157
0.6%
ValueCountFrequency (%)
111 1
 
< 0.1%
110 6
 
< 0.1%
109 3
 
< 0.1%
108 2
 
< 0.1%
107 74
0.3%
106 11
 
< 0.1%
105 6
 
< 0.1%
104 7
 
< 0.1%
103 54
0.2%
102 78
0.3%

Generator Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct97
Distinct (%)0.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean55.721648
Minimum17
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:35.865853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q141
median49
Q369
95-th percentile98
Maximum113
Range96
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.939433
Coefficient of variation (CV)0.37578632
Kurtosis-0.53679787
Mean55.721648
Median Absolute Deviation (MAD)14
Skewness0.65376672
Sum1459740
Variance438.45985
MonotonicityNot monotonic
2025-05-15T14:29:35.942681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 1316
 
5.0%
41 1017
 
3.9%
43 945
 
3.6%
44 827
 
3.2%
46 745
 
2.8%
40 703
 
2.7%
30 680
 
2.6%
29 655
 
2.5%
45 566
 
2.2%
47 563
 
2.1%
Other values (87) 18180
69.4%
ValueCountFrequency (%)
17 4
 
< 0.1%
18 6
 
< 0.1%
19 5
 
< 0.1%
20 4
 
< 0.1%
21 4
 
< 0.1%
22 15
 
0.1%
23 11
 
< 0.1%
24 18
 
0.1%
25 93
0.4%
26 160
0.6%
ValueCountFrequency (%)
113 1
 
< 0.1%
112 8
 
< 0.1%
111 1
 
< 0.1%
110 75
0.3%
109 10
 
< 0.1%
108 7
 
< 0.1%
107 6
 
< 0.1%
106 50
0.2%
105 72
0.3%
104 97
0.4%

Generator Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct101
Distinct (%)0.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean57.848265
Minimum17
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.020391image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q142
median50
Q373
95-th percentile103
Maximum117
Range100
Interquartile range (IQR)31

Descriptive statistics

Standard deviation22.56754
Coefficient of variation (CV)0.39011611
Kurtosis-0.6018842
Mean57.848265
Median Absolute Deviation (MAD)16
Skewness0.6361578
Sum1515451
Variance509.29386
MonotonicityNot monotonic
2025-05-15T14:29:36.099450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 1104
 
4.2%
43 1051
 
4.0%
44 1029
 
3.9%
45 730
 
2.8%
47 661
 
2.5%
30 637
 
2.4%
46 630
 
2.4%
48 615
 
2.3%
41 596
 
2.3%
29 584
 
2.2%
Other values (91) 18560
70.8%
ValueCountFrequency (%)
17 3
 
< 0.1%
18 6
 
< 0.1%
19 5
 
< 0.1%
20 4
 
< 0.1%
21 4
 
< 0.1%
22 15
 
0.1%
23 11
 
< 0.1%
24 18
 
0.1%
25 109
0.4%
26 156
0.6%
ValueCountFrequency (%)
117 1
 
< 0.1%
116 8
 
< 0.1%
115 2
 
< 0.1%
114 72
0.3%
113 11
 
< 0.1%
112 7
 
< 0.1%
111 29
 
0.1%
110 78
0.3%
109 95
0.4%
108 88
0.3%

Generator SlipRing Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean23.371836
Minimum8
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.167408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile18
Q120
median23
Q325
95-th percentile31
Maximum40
Range32
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1111492
Coefficient of variation (CV)0.17590185
Kurtosis0.89820022
Mean23.371836
Median Absolute Deviation (MAD)3
Skewness1.0130569
Sum612272
Variance16.901548
MonotonicityNot monotonic
2025-05-15T14:29:36.234277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
21 3142
12.0%
22 2799
10.7%
20 2758
10.5%
19 2721
10.4%
23 2611
10.0%
24 2450
9.3%
25 2070
7.9%
18 1274
 
4.9%
26 1059
 
4.0%
30 968
 
3.7%
Other values (22) 4345
16.6%
ValueCountFrequency (%)
8 3
 
< 0.1%
10 1
 
< 0.1%
11 1
 
< 0.1%
12 1
 
< 0.1%
13 7
 
< 0.1%
14 7
 
< 0.1%
15 10
 
< 0.1%
16 21
 
0.1%
17 209
 
0.8%
18 1274
4.9%
ValueCountFrequency (%)
40 18
 
0.1%
39 25
 
0.1%
38 56
 
0.2%
37 91
 
0.3%
36 120
 
0.5%
35 151
 
0.6%
34 214
0.8%
33 219
0.8%
32 346
1.3%
31 508
1.9%

Generator Bearing2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct61
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean59.164446
Minimum25
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.306082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile33
Q152
median60
Q370
95-th percentile78
Maximum85
Range60
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.10229
Coefficient of variation (CV)0.22145547
Kurtosis-0.33763924
Mean59.164446
Median Absolute Deviation (MAD)9
Skewness-0.53112148
Sum1549931
Variance171.67001
MonotonicityNot monotonic
2025-05-15T14:29:36.384702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 1274
 
4.9%
53 1151
 
4.4%
71 960
 
3.7%
70 925
 
3.5%
56 894
 
3.4%
69 875
 
3.3%
52 860
 
3.3%
55 857
 
3.3%
72 817
 
3.1%
67 731
 
2.8%
Other values (51) 16853
64.3%
ValueCountFrequency (%)
25 97
 
0.4%
26 79
 
0.3%
27 143
0.5%
28 162
0.6%
29 127
0.5%
30 169
0.6%
31 138
0.5%
32 222
0.8%
33 183
0.7%
34 264
1.0%
ValueCountFrequency (%)
85 7
 
< 0.1%
84 31
 
0.1%
83 57
 
0.2%
82 31
 
0.1%
81 38
 
0.1%
80 274
1.0%
79 374
1.4%
78 563
2.1%
77 604
2.3%
76 543
2.1%

Generator CoolingWater Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean32.24102
Minimum12
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.459557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile28
Q129
median33
Q335
95-th percentile38
Maximum51
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.8465975
Coefficient of variation (CV)0.11930756
Kurtosis0.982311
Mean32.24102
Median Absolute Deviation (MAD)3
Skewness0.43300732
Sum844618
Variance14.796312
MonotonicityNot monotonic
2025-05-15T14:29:36.531045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
34 5164
19.7%
35 4694
17.9%
28 4298
16.4%
29 3730
14.2%
30 1534
 
5.9%
36 1264
 
4.8%
32 842
 
3.2%
31 815
 
3.1%
33 744
 
2.8%
27 672
 
2.6%
Other values (30) 2440
9.3%
ValueCountFrequency (%)
12 2
 
< 0.1%
13 1
 
< 0.1%
14 3
 
< 0.1%
15 1
 
< 0.1%
16 8
< 0.1%
17 10
< 0.1%
18 7
< 0.1%
19 12
< 0.1%
20 9
< 0.1%
21 8
< 0.1%
ValueCountFrequency (%)
51 11
 
< 0.1%
50 5
 
< 0.1%
49 10
 
< 0.1%
48 12
 
< 0.1%
47 12
 
< 0.1%
46 57
 
0.2%
45 106
0.4%
44 49
 
0.2%
43 51
 
0.2%
42 169
0.6%

Hydraulic Oil Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct23
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean50.3655
Minimum36
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.597054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile45
Q148
median51
Q353
95-th percentile54
Maximum58
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.0655493
Coefficient of variation (CV)0.060866056
Kurtosis-0.66787606
Mean50.3655
Median Absolute Deviation (MAD)2
Skewness-0.63639898
Sum1319425
Variance9.3975927
MonotonicityNot monotonic
2025-05-15T14:29:36.654402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
53 4887
18.6%
52 3756
14.3%
54 3699
14.1%
51 2442
9.3%
50 2217
8.5%
49 1823
 
7.0%
48 1797
 
6.9%
45 1722
 
6.6%
47 1434
 
5.5%
46 1409
 
5.4%
Other values (13) 1011
 
3.9%
ValueCountFrequency (%)
36 1
 
< 0.1%
37 2
 
< 0.1%
38 2
 
< 0.1%
39 5
 
< 0.1%
40 9
 
< 0.1%
41 6
 
< 0.1%
42 7
 
< 0.1%
43 206
 
0.8%
44 731
2.8%
45 1722
6.6%
ValueCountFrequency (%)
58 11
 
< 0.1%
57 11
 
< 0.1%
56 11
 
< 0.1%
55 9
 
< 0.1%
54 3699
14.1%
53 4887
18.6%
52 3756
14.3%
51 2442
9.3%
50 2217
8.5%
49 1823
 
7.0%

Gear Oil Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26197 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130985
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:36.715244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:36.749008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Gear Bearing Temp. Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26197 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130985
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:36.788855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:36.824134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Gear Oil TemperatureBasis Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean56.376379
Minimum39
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.863116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile45
Q153
median56
Q362
95-th percentile65
Maximum68
Range29
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.1740573
Coefficient of variation (CV)0.10951497
Kurtosis-0.38370916
Mean56.376379
Median Absolute Deviation (MAD)4
Skewness-0.4294243
Sum1476892
Variance38.118984
MonotonicityNot monotonic
2025-05-15T14:29:36.926049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
53 2579
 
9.8%
54 2404
 
9.2%
65 1782
 
6.8%
63 1579
 
6.0%
64 1453
 
5.5%
55 1423
 
5.4%
56 1374
 
5.2%
62 1373
 
5.2%
61 1315
 
5.0%
57 1271
 
4.8%
Other values (20) 9644
36.8%
ValueCountFrequency (%)
39 1
 
< 0.1%
40 202
 
0.8%
41 198
 
0.8%
42 222
0.8%
43 257
1.0%
44 394
1.5%
45 365
1.4%
46 413
1.6%
47 463
1.8%
48 517
2.0%
ValueCountFrequency (%)
68 16
 
0.1%
67 165
 
0.6%
66 449
 
1.7%
65 1782
6.8%
64 1453
5.5%
63 1579
6.0%
62 1373
5.2%
61 1315
5.0%
60 1085
4.1%
59 1115
4.3%

Gear Oil TemperatureLevel1 Avg. [°C]
Real number (ℝ)

High correlation 

Distinct23
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean48.569798
Minimum31
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:36.986530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile45
Q149
median49
Q349
95-th percentile50
Maximum53
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6825434
Coefficient of variation (CV)0.034641762
Kurtosis11.279876
Mean48.569798
Median Absolute Deviation (MAD)0
Skewness-2.79871
Sum1272383
Variance2.8309522
MonotonicityNot monotonic
2025-05-15T14:29:37.048400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
49 17724
67.6%
48 3474
 
13.3%
50 1338
 
5.1%
51 859
 
3.3%
46 470
 
1.8%
47 432
 
1.6%
44 411
 
1.6%
45 371
 
1.4%
41 304
 
1.2%
52 287
 
1.1%
Other values (13) 527
 
2.0%
ValueCountFrequency (%)
31 1
 
< 0.1%
32 3
 
< 0.1%
33 2
 
< 0.1%
34 2
 
< 0.1%
35 3
 
< 0.1%
36 4
 
< 0.1%
37 2
 
< 0.1%
38 3
 
< 0.1%
39 2
 
< 0.1%
40 41
0.2%
ValueCountFrequency (%)
53 19
 
0.1%
52 287
 
1.1%
51 859
 
3.3%
50 1338
 
5.1%
49 17724
67.6%
48 3474
 
13.3%
47 432
 
1.6%
46 470
 
1.8%
45 371
 
1.4%
44 411
 
1.6%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:37.110415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:37.144099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Gear Bearing TemperatureHSRotorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct40
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean61.590984
Minimum37
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:37.189798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile44
Q154
median62
Q372
95-th percentile74
Maximum76
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.174715
Coefficient of variation (CV)0.16519813
Kurtosis-1.0464559
Mean61.590984
Median Absolute Deviation (MAD)9
Skewness-0.35243137
Sum1613499
Variance103.52483
MonotonicityNot monotonic
2025-05-15T14:29:37.262499image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
74 2529
 
9.6%
73 2304
 
8.8%
72 1485
 
5.7%
54 1016
 
3.9%
55 996
 
3.8%
56 994
 
3.8%
71 915
 
3.5%
53 810
 
3.1%
57 792
 
3.0%
58 779
 
3.0%
Other values (30) 13577
51.8%
ValueCountFrequency (%)
37 1
 
< 0.1%
38 30
 
0.1%
39 231
0.9%
40 179
 
0.7%
41 209
0.8%
42 286
1.1%
43 302
1.2%
44 387
1.5%
45 350
1.3%
46 452
1.7%
ValueCountFrequency (%)
76 64
 
0.2%
75 619
 
2.4%
74 2529
9.6%
73 2304
8.8%
72 1485
5.7%
71 915
 
3.5%
70 733
 
2.8%
69 628
 
2.4%
68 614
 
2.3%
67 629
 
2.4%

Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]
Real number (ℝ)

High correlation 

Distinct43
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean62.009734
Minimum38
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:37.335736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile46
Q156
median61
Q370
95-th percentile76
Maximum80
Range42
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.4329665
Coefficient of variation (CV)0.15212074
Kurtosis-0.85097867
Mean62.009734
Median Absolute Deviation (MAD)7
Skewness-0.16359742
Sum1624469
Variance88.980857
MonotonicityNot monotonic
2025-05-15T14:29:37.410403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
57 1674
 
6.4%
56 1489
 
5.7%
58 1392
 
5.3%
76 1366
 
5.2%
59 1099
 
4.2%
75 948
 
3.6%
55 915
 
3.5%
74 905
 
3.5%
72 894
 
3.4%
71 892
 
3.4%
Other values (33) 14623
55.8%
ValueCountFrequency (%)
38 6
 
< 0.1%
39 5
 
< 0.1%
40 159
0.6%
41 155
0.6%
42 175
0.7%
43 195
0.7%
44 268
1.0%
45 277
1.1%
46 370
1.4%
47 313
1.2%
ValueCountFrequency (%)
80 12
 
< 0.1%
79 48
 
0.2%
78 123
 
0.5%
77 485
 
1.9%
76 1366
5.2%
75 948
3.6%
74 905
3.5%
73 871
3.3%
72 894
3.4%
71 892
3.4%

Gear Bearing TemperatureHSMiddle Avg. [°C]
Real number (ℝ)

High correlation 

Distinct42
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.947513
Minimum38
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:37.484810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile46
Q156
median60
Q368
95-th percentile75
Maximum79
Range41
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.5626878
Coefficient of variation (CV)0.14049282
Kurtosis-0.52231996
Mean60.947513
Median Absolute Deviation (MAD)5
Skewness-0.091874327
Sum1596642
Variance73.319622
MonotonicityNot monotonic
2025-05-15T14:29:37.557462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
57 2883
 
11.0%
56 2270
 
8.7%
58 1500
 
5.7%
59 1147
 
4.4%
75 1068
 
4.1%
60 891
 
3.4%
67 887
 
3.4%
61 863
 
3.3%
65 841
 
3.2%
63 820
 
3.1%
Other values (32) 13027
49.7%
ValueCountFrequency (%)
38 5
 
< 0.1%
39 6
 
< 0.1%
40 170
0.6%
41 125
 
0.5%
42 177
0.7%
43 186
0.7%
44 279
1.1%
45 247
0.9%
46 344
1.3%
47 301
1.1%
ValueCountFrequency (%)
79 10
 
< 0.1%
78 56
 
0.2%
77 174
 
0.7%
76 579
2.2%
75 1068
4.1%
74 647
2.5%
73 566
2.2%
72 629
2.4%
71 633
2.4%
70 650
2.5%

Gear Bearing TemperatureHollowShaftRotor Avg. [°C]
Real number (ℝ)

High correlation 

Distinct44
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean69.902584
Minimum38
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:37.630861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile46
Q169
median73
Q377
95-th percentile79
Maximum81
Range43
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.219643
Coefficient of variation (CV)0.14619836
Kurtosis1.0787658
Mean69.902584
Median Absolute Deviation (MAD)4
Skewness-1.4546419
Sum1831238
Variance104.44111
MonotonicityNot monotonic
2025-05-15T14:29:37.704687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
69 3017
11.5%
78 2864
10.9%
76 2736
 
10.4%
79 2649
 
10.1%
70 2261
 
8.6%
77 2225
 
8.5%
71 1031
 
3.9%
72 895
 
3.4%
75 839
 
3.2%
73 779
 
3.0%
Other values (34) 6901
26.3%
ValueCountFrequency (%)
38 27
 
0.1%
39 97
 
0.4%
40 113
0.4%
41 89
 
0.3%
42 168
0.6%
43 191
0.7%
44 230
0.9%
45 219
0.8%
46 260
1.0%
47 254
1.0%
ValueCountFrequency (%)
81 9
 
< 0.1%
80 500
 
1.9%
79 2649
10.1%
78 2864
10.9%
77 2225
8.5%
76 2736
10.4%
75 839
 
3.2%
74 764
 
2.9%
73 779
 
3.0%
72 895
 
3.4%
Distinct41
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean64.969195
Minimum36
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:37.774972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile44
Q165
median67
Q372
95-th percentile73
Maximum76
Range40
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.9489743
Coefficient of variation (CV)0.13774181
Kurtosis1.2878578
Mean64.969195
Median Absolute Deviation (MAD)4
Skewness-1.4758683
Sum1701998
Variance80.08414
MonotonicityNot monotonic
2025-05-15T14:29:37.847925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
65 4531
17.3%
72 3167
12.1%
73 2601
9.9%
66 1833
 
7.0%
67 1508
 
5.8%
71 1440
 
5.5%
69 1348
 
5.1%
68 1273
 
4.9%
70 1216
 
4.6%
74 1018
 
3.9%
Other values (31) 6262
23.9%
ValueCountFrequency (%)
36 23
 
0.1%
37 120
0.5%
38 109
0.4%
39 105
 
0.4%
40 191
0.7%
41 192
0.7%
42 219
0.8%
43 222
0.8%
44 250
1.0%
45 263
1.0%
ValueCountFrequency (%)
76 13
 
< 0.1%
75 180
 
0.7%
74 1018
 
3.9%
73 2601
9.9%
72 3167
12.1%
71 1440
5.5%
70 1216
 
4.6%
69 1348
5.1%
68 1273
4.9%
67 1508
5.8%

Nacelle Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct25
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.189716
Minimum19
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:37.913333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile24
Q124
median26
Q329
95-th percentile34
Maximum43
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.7589467
Coefficient of variation (CV)0.13824884
Kurtosis0.72797257
Mean27.189716
Median Absolute Deviation (MAD)2
Skewness1.147431
Sum712289
Variance14.12968
MonotonicityNot monotonic
2025-05-15T14:29:37.972253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
24 8293
31.6%
25 3541
13.5%
27 2095
 
8.0%
26 1923
 
7.3%
28 1860
 
7.1%
29 1422
 
5.4%
30 1339
 
5.1%
34 1092
 
4.2%
32 946
 
3.6%
31 942
 
3.6%
Other values (15) 2744
 
10.5%
ValueCountFrequency (%)
19 27
 
0.1%
20 25
 
0.1%
21 3
 
< 0.1%
22 9
 
< 0.1%
23 648
 
2.5%
24 8293
31.6%
25 3541
13.5%
26 1923
 
7.3%
27 2095
 
8.0%
28 1860
 
7.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
42 25
 
0.1%
41 41
 
0.2%
40 109
 
0.4%
39 129
 
0.5%
38 105
 
0.4%
37 176
 
0.7%
36 126
 
0.5%
35 569
2.2%
34 1092
4.2%

Avg. direction [°]
Real number (ℝ)

High correlation 

Distinct3463
Distinct (%)13.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean217.16099
Minimum0
Maximum359.9
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:38.039583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.18
Q1112.6
median249.4
Q3318.3
95-th percentile346.2
Maximum359.9
Range359.9
Interquartile range (IQR)205.7

Descriptive statistics

Standard deviation109.41609
Coefficient of variation (CV)0.50384779
Kurtosis-1.2349087
Mean217.16099
Median Absolute Deviation (MAD)82.1
Skewness-0.43411458
Sum5688966.5
Variance11971.88
MonotonicityNot monotonic
2025-05-15T14:29:38.120730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
228.1 112
 
0.4%
340.7 106
 
0.4%
341.6 104
 
0.4%
309.9 94
 
0.4%
338.6 93
 
0.4%
328.4 80
 
0.3%
314 79
 
0.3%
340.3 79
 
0.3%
342.8 76
 
0.3%
347.6 73
 
0.3%
Other values (3453) 25301
96.5%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.2 2
 
< 0.1%
0.3 1
 
< 0.1%
0.6 3
 
< 0.1%
0.9 19
0.1%
1.2 1
 
< 0.1%
1.3 24
0.1%
1.6 20
0.1%
1.9 1
 
< 0.1%
2 3
 
< 0.1%
ValueCountFrequency (%)
359.9 8
 
< 0.1%
359.5 32
0.1%
359.2 14
 
0.1%
359.1 3
 
< 0.1%
358.8 36
0.1%
358.5 3
 
< 0.1%
358.4 9
 
< 0.1%
358.3 2
 
< 0.1%
358.1 2
 
< 0.1%
358 37
0.1%

Rotor RPM Max. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct153
Distinct (%)0.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12.159037
Minimum0
Maximum18
Zeros870
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:38.200608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q110.2
median14.1
Q315.8
95-th percentile16.6
Maximum18
Range18
Interquartile range (IQR)5.6

Descriptive statistics

Standard deviation4.9295457
Coefficient of variation (CV)0.40542237
Kurtosis0.56265132
Mean12.159037
Median Absolute Deviation (MAD)2
Skewness-1.3048748
Sum318530.3
Variance24.30042
MonotonicityNot monotonic
2025-05-15T14:29:38.279221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.7 2545
 
9.7%
15.8 2114
 
8.1%
10.1 1878
 
7.2%
15.9 1559
 
5.9%
10.2 1036
 
4.0%
0 870
 
3.3%
16 845
 
3.2%
15.6 646
 
2.5%
16.1 411
 
1.6%
15.5 376
 
1.4%
Other values (143) 13917
53.1%
ValueCountFrequency (%)
0 870
3.3%
0.1 233
 
0.9%
0.2 71
 
0.3%
0.3 34
 
0.1%
0.4 36
 
0.1%
0.5 42
 
0.2%
0.6 40
 
0.2%
0.7 30
 
0.1%
0.8 33
 
0.1%
0.9 36
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17.9 3
 
< 0.1%
17.8 2
 
< 0.1%
17.7 10
 
< 0.1%
17.6 5
 
< 0.1%
17.5 17
 
0.1%
17.4 37
0.1%
17.3 46
0.2%
17.2 66
0.3%
17.1 79
0.3%

Rotor RPM Min. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct129
Distinct (%)0.5%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.067073
Minimum0
Maximum15.6
Zeros1668
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:38.356702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.8
median10
Q314.3
95-th percentile15.4
Maximum15.6
Range15.6
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.8258742
Coefficient of variation (CV)0.47937215
Kurtosis-0.25049716
Mean10.067073
Median Absolute Deviation (MAD)3.1
Skewness-0.92522471
Sum263727.1
Variance23.289062
MonotonicityNot monotonic
2025-05-15T14:29:38.437190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.9 4212
 
16.1%
0 1668
 
6.4%
9.8 1522
 
5.8%
15.4 1142
 
4.4%
10 914
 
3.5%
15.3 888
 
3.4%
15.5 788
 
3.0%
15.2 630
 
2.4%
11.9 561
 
2.1%
15.1 477
 
1.8%
Other values (119) 13395
51.1%
ValueCountFrequency (%)
0 1668
6.4%
0.1 89
 
0.3%
0.2 58
 
0.2%
0.3 52
 
0.2%
0.4 72
 
0.3%
0.5 85
 
0.3%
0.6 84
 
0.3%
0.7 86
 
0.3%
0.8 100
 
0.4%
0.9 82
 
0.3%
ValueCountFrequency (%)
15.6 304
 
1.2%
15.5 788
3.0%
15.4 1142
4.4%
15.3 888
3.4%
15.2 630
2.4%
15.1 477
1.8%
15 423
 
1.6%
14.9 371
 
1.4%
14.8 357
 
1.4%
14.7 335
 
1.3%

Rotor RPM Avg. [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct158
Distinct (%)0.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.099832
Minimum0
Maximum15.7
Zeros1273
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:38.517738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q110
median12
Q315.5
95-th percentile15.6
Maximum15.7
Range15.7
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.8665047
Coefficient of variation (CV)0.43843048
Kurtosis0.076259835
Mean11.099832
Median Absolute Deviation (MAD)3.1
Skewness-1.0845858
Sum290782.3
Variance23.682868
MonotonicityNot monotonic
2025-05-15T14:29:38.599536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.6 6260
23.9%
10 3917
 
14.9%
0 1273
 
4.9%
15.5 829
 
3.2%
10.1 525
 
2.0%
15.4 459
 
1.8%
10.2 394
 
1.5%
15.3 387
 
1.5%
10.3 301
 
1.1%
10.4 270
 
1.0%
Other values (148) 11582
44.2%
ValueCountFrequency (%)
0 1273
4.9%
0.1 100
 
0.4%
0.2 66
 
0.3%
0.3 49
 
0.2%
0.4 49
 
0.2%
0.5 41
 
0.2%
0.6 45
 
0.2%
0.7 45
 
0.2%
0.8 47
 
0.2%
0.9 46
 
0.2%
ValueCountFrequency (%)
15.7 5
 
< 0.1%
15.6 6260
23.9%
15.5 829
 
3.2%
15.4 459
 
1.8%
15.3 387
 
1.5%
15.2 255
 
1.0%
15.1 235
 
0.9%
15 201
 
0.8%
14.9 210
 
0.8%
14.8 191
 
0.7%

Rotor RPM StdDev [RPM]
Real number (ℝ)

High correlation  Zeros 

Distinct70
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.45922816
Minimum0
Maximum7.2
Zeros7343
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:38.680380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.6
95-th percentile1.6
Maximum7.2
Range7.2
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.69488516
Coefficient of variation (CV)1.5131589
Kurtosis13.861759
Mean0.45922816
Median Absolute Deviation (MAD)0.2
Skewness3.1970841
Sum12030.4
Variance0.48286538
MonotonicityNot monotonic
2025-05-15T14:29:38.759318image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7343
28.0%
0.1 3848
14.7%
0.2 2722
 
10.4%
0.3 2101
 
8.0%
0.4 1549
 
5.9%
0.5 1276
 
4.9%
0.6 1042
 
4.0%
0.7 995
 
3.8%
0.8 957
 
3.7%
0.9 776
 
3.0%
Other values (60) 3588
13.7%
ValueCountFrequency (%)
0 7343
28.0%
0.1 3848
14.7%
0.2 2722
 
10.4%
0.3 2101
 
8.0%
0.4 1549
 
5.9%
0.5 1276
 
4.9%
0.6 1042
 
4.0%
0.7 995
 
3.8%
0.8 957
 
3.7%
0.9 776
 
3.0%
ValueCountFrequency (%)
7.2 1
 
< 0.1%
7.1 1
 
< 0.1%
7 2
< 0.1%
6.9 3
< 0.1%
6.8 1
 
< 0.1%
6.7 2
< 0.1%
6.6 2
< 0.1%
6.5 4
< 0.1%
6.4 1
 
< 0.1%
6.3 1
 
< 0.1%

Ambient WindSpeed Max. [m/s]
Real number (ℝ)

High correlation 

Distinct372
Distinct (%)1.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.626572
Minimum0.9
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:39.462344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile3.4
Q16.2
median9.2
Q314.1
95-th percentile21.9
Maximum43
Range42.1
Interquartile range (IQR)7.9

Descriptive statistics

Standard deviation6.0341215
Coefficient of variation (CV)0.56783332
Kurtosis1.35701
Mean10.626572
Median Absolute Deviation (MAD)3.6
Skewness1.1162438
Sum278384.3
Variance36.410623
MonotonicityNot monotonic
2025-05-15T14:29:39.537817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.8 260
 
1.0%
7.5 259
 
1.0%
8.2 238
 
0.9%
7.4 234
 
0.9%
8.1 233
 
0.9%
7.9 231
 
0.9%
7.2 228
 
0.9%
7.1 227
 
0.9%
8.3 226
 
0.9%
8.4 224
 
0.9%
Other values (362) 23837
91.0%
ValueCountFrequency (%)
0.9 3
 
< 0.1%
1 4
 
< 0.1%
1.1 4
 
< 0.1%
1.2 9
 
< 0.1%
1.3 11
 
< 0.1%
1.4 17
0.1%
1.5 7
 
< 0.1%
1.6 18
0.1%
1.7 31
0.1%
1.8 25
0.1%
ValueCountFrequency (%)
43 1
< 0.1%
42.1 1
< 0.1%
41.6 1
< 0.1%
41.5 1
< 0.1%
41 1
< 0.1%
40.9 1
< 0.1%
40.8 1
< 0.1%
40.3 1
< 0.1%
40.1 2
< 0.1%
40 1
< 0.1%

Ambient WindSpeed Min. [m/s]
Real number (ℝ)

High correlation 

Distinct194
Distinct (%)0.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.7637554
Minimum0
Maximum22.2
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:39.613689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q12.3
median4.1
Q36.7
95-th percentile10.6
Maximum22.2
Range22.2
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation3.1646258
Coefficient of variation (CV)0.66431324
Kurtosis1.0105254
Mean4.7637554
Median Absolute Deviation (MAD)2.1
Skewness0.97182721
Sum124796.1
Variance10.014856
MonotonicityNot monotonic
2025-05-15T14:29:39.692428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 451
 
1.7%
3.9 415
 
1.6%
4.4 403
 
1.5%
3.7 399
 
1.5%
4.2 394
 
1.5%
3.6 388
 
1.5%
3.4 384
 
1.5%
3.5 381
 
1.5%
4.1 375
 
1.4%
1.3 375
 
1.4%
Other values (184) 22232
84.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
0.3 319
1.2%
0.4 317
1.2%
0.5 264
1.0%
0.6 251
1.0%
0.7 238
0.9%
0.8 242
0.9%
0.9 277
1.1%
1 297
1.1%
1.1 337
1.3%
ValueCountFrequency (%)
22.2 1
< 0.1%
21.9 2
< 0.1%
21.2 1
< 0.1%
20.4 1
< 0.1%
20.1 1
< 0.1%
19.7 1
< 0.1%
19.5 2
< 0.1%
19.4 1
< 0.1%
19.2 1
< 0.1%
19 1
< 0.1%

Ambient WindSpeed Avg. [m/s]
Real number (ℝ)

High correlation 

Distinct292
Distinct (%)1.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.6501355
Minimum0.4
Maximum32.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:39.769551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile2
Q14.2
median6.6
Q310.1
95-th percentile16.8
Maximum32.8
Range32.4
Interquartile range (IQR)5.9

Descriptive statistics

Standard deviation4.6731596
Coefficient of variation (CV)0.61085972
Kurtosis1.5425404
Mean7.6501355
Median Absolute Deviation (MAD)2.8
Skewness1.1701775
Sum200410.6
Variance21.838421
MonotonicityNot monotonic
2025-05-15T14:29:39.845042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 323
 
1.2%
3.8 304
 
1.2%
4.5 304
 
1.2%
4.3 300
 
1.1%
5.3 299
 
1.1%
4.4 294
 
1.1%
4.1 290
 
1.1%
4.9 289
 
1.1%
5.1 289
 
1.1%
4.2 287
 
1.1%
Other values (282) 23218
88.6%
ValueCountFrequency (%)
0.4 2
 
< 0.1%
0.5 11
 
< 0.1%
0.6 23
 
0.1%
0.7 33
 
0.1%
0.8 26
 
0.1%
0.9 35
 
0.1%
1 58
0.2%
1.1 56
0.2%
1.2 73
0.3%
1.3 98
0.4%
ValueCountFrequency (%)
32.8 1
 
< 0.1%
32.6 1
 
< 0.1%
32.5 1
 
< 0.1%
32.3 1
 
< 0.1%
31.8 3
< 0.1%
31.6 1
 
< 0.1%
30.5 1
 
< 0.1%
30.1 1
 
< 0.1%
30 1
 
< 0.1%
29.8 3
< 0.1%

Ambient WindSpeed StdDev [m/s]
Real number (ℝ)

High correlation 

Distinct46
Distinct (%)0.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.91895255
Minimum0
Maximum4.7
Zeros26
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:39.920619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q10.5
median0.8
Q31.2
95-th percentile2.1
Maximum4.7
Range4.7
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.616551
Coefficient of variation (CV)0.670928
Kurtosis2.1469732
Mean0.91895255
Median Absolute Deviation (MAD)0.4
Skewness1.3386465
Sum24073.8
Variance0.38013514
MonotonicityNot monotonic
2025-05-15T14:29:39.994250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.4 2642
 
10.1%
0.5 2593
 
9.9%
0.6 2397
 
9.1%
0.7 1887
 
7.2%
0.3 1838
 
7.0%
0.8 1726
 
6.6%
0.9 1565
 
6.0%
1 1290
 
4.9%
0.2 1254
 
4.8%
1.1 1223
 
4.7%
Other values (36) 7782
29.7%
ValueCountFrequency (%)
0 26
 
0.1%
0.1 419
 
1.6%
0.2 1254
4.8%
0.3 1838
7.0%
0.4 2642
10.1%
0.5 2593
9.9%
0.6 2397
9.1%
0.7 1887
7.2%
0.8 1726
6.6%
0.9 1565
6.0%
ValueCountFrequency (%)
4.7 1
 
< 0.1%
4.5 1
 
< 0.1%
4.3 2
 
< 0.1%
4.2 1
 
< 0.1%
4.1 5
 
< 0.1%
4 8
< 0.1%
3.9 8
< 0.1%
3.8 7
< 0.1%
3.7 15
0.1%
3.6 14
0.1%

Ambient WindDir Relative Avg. [°]
Real number (ℝ)

High correlation 

Distinct1728
Distinct (%)6.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-2.7599305
Minimum-179.3
Maximum179.9
Zeros187
Zeros (%)0.7%
Negative21868
Negative (%)83.4%
Memory size1.4 MiB
2025-05-15T14:29:40.067148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-179.3
5-th percentile-15.22
Q1-4.5
median-2.8
Q3-1.1
95-th percentile7.8
Maximum179.9
Range359.2
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation22.222849
Coefficient of variation (CV)-8.0519597
Kurtosis26.496359
Mean-2.7599305
Median Absolute Deviation (MAD)1.7
Skewness0.27317706
Sum-72301.9
Variance493.85504
MonotonicityNot monotonic
2025-05-15T14:29:40.143321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.6 440
 
1.7%
-2.7 439
 
1.7%
-3.1 434
 
1.7%
-2.3 433
 
1.7%
-3.3 423
 
1.6%
-3.6 421
 
1.6%
-2.5 421
 
1.6%
-2.4 417
 
1.6%
-2.8 415
 
1.6%
-3.7 414
 
1.6%
Other values (1718) 21940
83.7%
ValueCountFrequency (%)
-179.3 2
< 0.1%
-178.9 1
< 0.1%
-175.7 1
< 0.1%
-175.3 1
< 0.1%
-175.1 2
< 0.1%
-174.8 1
< 0.1%
-174.7 2
< 0.1%
-173.9 1
< 0.1%
-173.7 1
< 0.1%
-173.6 1
< 0.1%
ValueCountFrequency (%)
179.9 1
< 0.1%
179.8 1
< 0.1%
179.6 1
< 0.1%
179.3 1
< 0.1%
178.9 1
< 0.1%
178 1
< 0.1%
177.4 1
< 0.1%
176.9 1
< 0.1%
176.6 2
< 0.1%
174.8 1
< 0.1%

Ambient WindDir Absolute Avg. [°]
Real number (ℝ)

High correlation 

Distinct3559
Distinct (%)13.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean216.83737
Minimum0
Maximum359.9
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:40.220047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21.1
Q1111.5
median250.9
Q3317.7
95-th percentile346.4
Maximum359.9
Range359.9
Interquartile range (IQR)206.2

Descriptive statistics

Standard deviation110.2412
Coefficient of variation (CV)0.50840495
Kurtosis-1.2206413
Mean216.83737
Median Absolute Deviation (MAD)80.4
Skewness-0.45576381
Sum5680488.7
Variance12153.121
MonotonicityNot monotonic
2025-05-15T14:29:40.299879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321.3 36
 
0.1%
324.4 33
 
0.1%
322.8 32
 
0.1%
320.3 31
 
0.1%
323.3 31
 
0.1%
330 30
 
0.1%
327.8 29
 
0.1%
313.2 29
 
0.1%
321.9 29
 
0.1%
329.7 29
 
0.1%
Other values (3549) 25888
98.8%
ValueCountFrequency (%)
0 8
< 0.1%
0.1 15
0.1%
0.2 8
< 0.1%
0.3 9
< 0.1%
0.4 3
 
< 0.1%
0.5 15
0.1%
0.6 11
< 0.1%
0.7 5
 
< 0.1%
0.8 7
< 0.1%
0.9 5
 
< 0.1%
ValueCountFrequency (%)
359.9 7
< 0.1%
359.8 8
< 0.1%
359.7 4
 
< 0.1%
359.6 8
< 0.1%
359.5 6
< 0.1%
359.4 7
< 0.1%
359.3 4
 
< 0.1%
359.2 11
< 0.1%
359.1 11
< 0.1%
359 5
< 0.1%

Ambient Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean11.131351
Minimum0
Maximum31
Zeros40
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:40.370465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q314
95-th percentile23
Maximum31
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.7309938
Coefficient of variation (CV)0.5148516
Kurtosis0.61097878
Mean11.131351
Median Absolute Deviation (MAD)4
Skewness0.94921563
Sum291608
Variance32.84429
MonotonicityNot monotonic
2025-05-15T14:29:40.435765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7 2775
 
10.6%
6 2305
 
8.8%
8 2281
 
8.7%
10 1827
 
7.0%
9 1812
 
6.9%
13 1522
 
5.8%
5 1488
 
5.7%
11 1450
 
5.5%
14 1351
 
5.2%
12 1349
 
5.1%
Other values (22) 8037
30.7%
ValueCountFrequency (%)
0 40
 
0.2%
1 79
 
0.3%
2 273
 
1.0%
3 473
 
1.8%
4 907
 
3.5%
5 1488
5.7%
6 2305
8.8%
7 2775
10.6%
8 2281
8.7%
9 1812
6.9%
ValueCountFrequency (%)
31 8
 
< 0.1%
30 56
 
0.2%
29 136
0.5%
28 157
0.6%
27 212
0.8%
26 189
0.7%
25 230
0.9%
24 167
0.6%
23 171
0.7%
22 223
0.9%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:40.499063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:40.532762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Grid InverterPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct30
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean35.746345
Minimum29
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:40.572615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile29
Q132
median36
Q339
95-th percentile44
Maximum58
Range29
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.9559499
Coefficient of variation (CV)0.13864214
Kurtosis0.17657208
Mean35.746345
Median Absolute Deviation (MAD)4
Skewness0.64120696
Sum936447
Variance24.561439
MonotonicityNot monotonic
2025-05-15T14:29:40.635161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
37 2555
9.7%
29 2523
 
9.6%
38 2445
 
9.3%
32 2285
 
8.7%
31 1931
 
7.4%
33 1926
 
7.3%
30 1871
 
7.1%
39 1646
 
6.3%
36 1404
 
5.4%
34 1252
 
4.8%
Other values (20) 6359
24.3%
ValueCountFrequency (%)
29 2523
9.6%
30 1871
7.1%
31 1931
7.4%
32 2285
8.7%
33 1926
7.3%
34 1252
4.8%
35 969
 
3.7%
36 1404
5.4%
37 2555
9.7%
38 2445
9.3%
ValueCountFrequency (%)
58 4
 
< 0.1%
57 9
 
< 0.1%
56 9
 
< 0.1%
55 6
 
< 0.1%
54 8
 
< 0.1%
53 32
 
0.1%
52 71
0.3%
51 21
 
0.1%
50 68
0.3%
49 136
0.5%

Grid RotorInvPhase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean36.654693
Minimum29
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:40.697807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile29
Q132
median37
Q340
95-th percentile46
Maximum60
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.4900497
Coefficient of variation (CV)0.14977754
Kurtosis-0.17893538
Mean36.654693
Median Absolute Deviation (MAD)5
Skewness0.57920049
Sum960243
Variance30.140646
MonotonicityNot monotonic
2025-05-15T14:29:40.763334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
32 2824
 
10.8%
31 2494
 
9.5%
39 2285
 
8.7%
40 1951
 
7.4%
33 1797
 
6.9%
30 1553
 
5.9%
29 1553
 
5.9%
38 1545
 
5.9%
41 1286
 
4.9%
37 1162
 
4.4%
Other values (22) 7747
29.6%
ValueCountFrequency (%)
29 1553
5.9%
30 1553
5.9%
31 2494
9.5%
32 2824
10.8%
33 1797
6.9%
34 1143
4.4%
35 828
 
3.2%
36 891
 
3.4%
37 1162
4.4%
38 1545
5.9%
ValueCountFrequency (%)
60 2
 
< 0.1%
59 9
 
< 0.1%
58 9
 
< 0.1%
57 7
 
< 0.1%
56 6
 
< 0.1%
55 32
 
0.1%
54 69
0.3%
53 23
 
0.1%
52 41
 
0.2%
51 121
0.5%

Grid RotorInvPhase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.992327
Minimum29
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:40.827851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile31
Q133
median38
Q342
95-th percentile47
Maximum61
Range32
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.3596612
Coefficient of variation (CV)0.1410722
Kurtosis-0.19782797
Mean37.992327
Median Absolute Deviation (MAD)4
Skewness0.52504544
Sum995285
Variance28.725968
MonotonicityNot monotonic
2025-05-15T14:29:40.896065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
33 3085
11.8%
34 2361
 
9.0%
41 2271
 
8.7%
32 2089
 
8.0%
40 2075
 
7.9%
42 1723
 
6.6%
35 1272
 
4.9%
39 1258
 
4.8%
31 1241
 
4.7%
43 1158
 
4.4%
Other values (23) 7664
29.2%
ValueCountFrequency (%)
29 368
 
1.4%
30 475
 
1.8%
31 1241
4.7%
32 2089
8.0%
33 3085
11.8%
34 2361
9.0%
35 1272
4.9%
36 959
 
3.7%
37 869
 
3.3%
38 1023
 
3.9%
ValueCountFrequency (%)
61 2
 
< 0.1%
60 9
 
< 0.1%
59 7
 
< 0.1%
58 7
 
< 0.1%
57 8
 
< 0.1%
56 29
 
0.1%
55 69
0.3%
54 27
 
0.1%
53 36
 
0.1%
52 102
0.4%

Grid RotorInvPhase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct32
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.439669
Minimum29
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:40.961573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile31
Q133
median37
Q341
95-th percentile46
Maximum60
Range31
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.0174679
Coefficient of variation (CV)0.13401475
Kurtosis-0.13095033
Mean37.439669
Median Absolute Deviation (MAD)4
Skewness0.51835801
Sum980807
Variance25.174985
MonotonicityNot monotonic
2025-05-15T14:29:41.177854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
33 3387
12.9%
32 2722
10.4%
40 2587
 
9.9%
41 2328
 
8.9%
34 1887
 
7.2%
39 1665
 
6.4%
42 1462
 
5.6%
31 1288
 
4.9%
43 1157
 
4.4%
38 1156
 
4.4%
Other values (22) 6558
25.0%
ValueCountFrequency (%)
29 387
 
1.5%
30 540
 
2.1%
31 1288
 
4.9%
32 2722
10.4%
33 3387
12.9%
34 1887
7.2%
35 1087
 
4.1%
36 868
 
3.3%
37 969
 
3.7%
38 1156
 
4.4%
ValueCountFrequency (%)
60 1
 
< 0.1%
59 8
 
< 0.1%
58 7
 
< 0.1%
57 9
 
< 0.1%
56 5
 
< 0.1%
55 16
 
0.1%
54 63
0.2%
53 41
0.2%
52 37
0.1%
51 64
0.2%

Grid Production Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct13040
Distinct (%)49.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean830.45103
Minimum-17.6
Maximum3001
Zeros8
Zeros (%)< 0.1%
Negative4412
Negative (%)16.8%
Memory size1.4 MiB
2025-05-15T14:29:41.253060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-17.6
5-th percentile-12.3
Q178
median408.7
Q31365.9
95-th percentile2957.1
Maximum3001
Range3018.6
Interquartile range (IQR)1287.9

Descriptive statistics

Standard deviation949.8548
Coefficient of variation (CV)1.1437818
Kurtosis-0.14728156
Mean830.45103
Median Absolute Deviation (MAD)419.3
Skewness1.0823542
Sum21755326
Variance902224.14
MonotonicityNot monotonic
2025-05-15T14:29:41.330227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.8 254
 
1.0%
-11.7 254
 
1.0%
-11.6 229
 
0.9%
-11.9 227
 
0.9%
-12 223
 
0.9%
-12.1 216
 
0.8%
-11.5 194
 
0.7%
-12.2 189
 
0.7%
-12.3 178
 
0.7%
-12.4 142
 
0.5%
Other values (13030) 24091
91.9%
ValueCountFrequency (%)
-17.6 2
< 0.1%
-17.1 1
 
< 0.1%
-17 1
 
< 0.1%
-16.9 2
< 0.1%
-16.5 1
 
< 0.1%
-16.2 3
< 0.1%
-16.1 2
< 0.1%
-16 2
< 0.1%
-15.8 3
< 0.1%
-15.7 2
< 0.1%
ValueCountFrequency (%)
3001 1
 
< 0.1%
3000.7 2
 
< 0.1%
3000.5 13
 
< 0.1%
3000.4 71
0.3%
3000.3 109
0.4%
3000.2 92
0.4%
3000.1 41
 
0.2%
3000 17
 
0.1%
2999.9 21
 
0.1%
2999.8 18
 
0.1%

Grid Production CosPhi Avg.
Real number (ℝ)

High correlation 

Distinct11
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.91652861
Minimum0
Maximum1
Zeros76
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:41.391834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q10.9
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.17172687
Coefficient of variation (CV)0.18736662
Kurtosis6.9542733
Mean0.91652861
Median Absolute Deviation (MAD)0
Skewness-2.4870819
Sum24010.3
Variance0.029490117
MonotonicityNot monotonic
2025-05-15T14:29:41.443772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 19622
74.9%
0.7 3892
 
14.9%
0.9 909
 
3.5%
0.8 434
 
1.7%
0.6 363
 
1.4%
0.3 194
 
0.7%
0.5 193
 
0.7%
0.4 193
 
0.7%
0.2 168
 
0.6%
0.1 153
 
0.6%
ValueCountFrequency (%)
0 76
 
0.3%
0.1 153
 
0.6%
0.2 168
 
0.6%
0.3 194
 
0.7%
0.4 193
 
0.7%
0.5 193
 
0.7%
0.6 363
 
1.4%
0.7 3892
14.9%
0.8 434
 
1.7%
0.9 909
 
3.5%
ValueCountFrequency (%)
1 19622
74.9%
0.9 909
 
3.5%
0.8 434
 
1.7%
0.7 3892
 
14.9%
0.6 363
 
1.4%
0.5 193
 
0.7%
0.4 193
 
0.7%
0.3 194
 
0.7%
0.2 168
 
0.6%
0.1 153
 
0.6%

Grid Production Frequency Avg. [Hz]
Categorical

High correlation  Imbalance 

Distinct5
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
50.0
26075 
49.9
 
113
49.4
 
4
50.1
 
4
49.5
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters104788
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row50.0
2nd row50.0
3rd row50.0
4th row50.0
5th row50.0

Common Values

ValueCountFrequency (%)
50.0 26075
99.5%
49.9 113
 
0.4%
49.4 4
 
< 0.1%
50.1 4
 
< 0.1%
49.5 1
 
< 0.1%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:41.500575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:41.543874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
50.0 26075
99.5%
49.9 113
 
0.4%
49.4 4
 
< 0.1%
50.1 4
 
< 0.1%
49.5 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 52154
49.8%
. 26197
25.0%
5 26080
24.9%
9 231
 
0.2%
4 122
 
0.1%
1 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104788
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52154
49.8%
. 26197
25.0%
5 26080
24.9%
9 231
 
0.2%
4 122
 
0.1%
1 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104788
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52154
49.8%
. 26197
25.0%
5 26080
24.9%
9 231
 
0.2%
4 122
 
0.1%
1 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104788
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52154
49.8%
. 26197
25.0%
5 26080
24.9%
9 231
 
0.2%
4 122
 
0.1%
1 4
 
< 0.1%

Grid Production VoltagePhase1 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct452
Distinct (%)1.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean579.55605
Minimum0
Maximum611
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:41.607399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile568.2
Q1574.3
median579.4
Q3584.4
95-th percentile592.1
Maximum611
Range611
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation10.769239
Coefficient of variation (CV)0.018581877
Kurtosis1468.1007
Mean579.55605
Median Absolute Deviation (MAD)5
Skewness-27.672829
Sum15182630
Variance115.97651
MonotonicityNot monotonic
2025-05-15T14:29:41.688656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
579 180
 
0.7%
579.9 167
 
0.6%
579.3 166
 
0.6%
579.7 162
 
0.6%
580.9 161
 
0.6%
581 160
 
0.6%
580.2 159
 
0.6%
578.5 158
 
0.6%
580.6 157
 
0.6%
581.1 157
 
0.6%
Other values (442) 24570
93.8%
ValueCountFrequency (%)
0 4
< 0.1%
71.4 1
 
< 0.1%
514 1
 
< 0.1%
563.9 2
 
< 0.1%
564 4
< 0.1%
564.1 2
 
< 0.1%
564.2 1
 
< 0.1%
564.3 2
 
< 0.1%
564.4 5
< 0.1%
564.5 7
< 0.1%
ValueCountFrequency (%)
611 1
< 0.1%
610.5 2
< 0.1%
610.2 2
< 0.1%
609.9 2
< 0.1%
609.6 2
< 0.1%
609.5 1
< 0.1%
609.4 1
< 0.1%
609.3 1
< 0.1%
609.2 1
< 0.1%
609.1 1
< 0.1%

Grid Production VoltagePhase2 Avg. [V]
Real number (ℝ)

High correlation  Skewed 

Distinct455
Distinct (%)1.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean576.68379
Minimum0
Maximum606.8
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:41.767248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile565.7
Q1571.5
median576.5
Q3581.5
95-th percentile588.8
Maximum606.8
Range606.8
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.606771
Coefficient of variation (CV)0.018392699
Kurtosis1528.9418
Mean576.68379
Median Absolute Deviation (MAD)5
Skewness-28.537826
Sum15107385
Variance112.50359
MonotonicityNot monotonic
2025-05-15T14:29:41.846587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
577.2 176
 
0.7%
577 174
 
0.7%
577.3 164
 
0.6%
574.6 161
 
0.6%
575 161
 
0.6%
577.8 161
 
0.6%
576.8 160
 
0.6%
578 158
 
0.6%
575.1 156
 
0.6%
577.7 156
 
0.6%
Other values (445) 24570
93.8%
ValueCountFrequency (%)
0 4
< 0.1%
71.4 1
 
< 0.1%
512.9 1
 
< 0.1%
559.2 1
 
< 0.1%
559.4 1
 
< 0.1%
559.7 2
< 0.1%
559.8 1
 
< 0.1%
559.9 1
 
< 0.1%
560.2 1
 
< 0.1%
560.4 2
< 0.1%
ValueCountFrequency (%)
606.8 1
 
< 0.1%
606.4 4
< 0.1%
606.3 1
 
< 0.1%
606.1 1
 
< 0.1%
606 2
< 0.1%
605.9 2
< 0.1%
605.7 1
 
< 0.1%
605.5 1
 
< 0.1%
605.3 2
< 0.1%
605.1 1
 
< 0.1%

Grid Production VoltagePhase3 Avg. [V]
Real number (ℝ)

High correlation 

Distinct717
Distinct (%)2.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean582.54719
Minimum0
Maximum628.7
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:41.925967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile562.9
Q1569.3
median576.6
Q3599
95-th percentile608.8
Maximum628.7
Range628.7
Interquartile range (IQR)29.7

Descriptive statistics

Standard deviation17.906114
Coefficient of variation (CV)0.030737619
Kurtosis194.74536
Mean582.54719
Median Absolute Deviation (MAD)10.8
Skewness-5.7989013
Sum15260989
Variance320.62891
MonotonicityNot monotonic
2025-05-15T14:29:42.003606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
569.9 114
 
0.4%
571.9 114
 
0.4%
569 113
 
0.4%
572.8 113
 
0.4%
572 110
 
0.4%
569.7 109
 
0.4%
567.4 109
 
0.4%
570.1 109
 
0.4%
571 106
 
0.4%
571.1 106
 
0.4%
Other values (707) 25094
95.7%
ValueCountFrequency (%)
0 4
< 0.1%
71 1
 
< 0.1%
511.6 1
 
< 0.1%
551.1 1
 
< 0.1%
551.2 1
 
< 0.1%
551.9 1
 
< 0.1%
552.7 1
 
< 0.1%
552.8 1
 
< 0.1%
553.2 2
< 0.1%
553.7 1
 
< 0.1%
ValueCountFrequency (%)
628.7 1
 
< 0.1%
627.8 1
 
< 0.1%
627.7 1
 
< 0.1%
627 1
 
< 0.1%
626.8 1
 
< 0.1%
626.7 3
< 0.1%
626.6 1
 
< 0.1%
626.3 1
 
< 0.1%
626.2 1
 
< 0.1%
626.1 1
 
< 0.1%

Grid Production CurrentPhase1 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10327
Distinct (%)39.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean475.31335
Minimum1
Maximum1726.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:42.080530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.8
Q153.7
median241.2
Q3766.6
95-th percentile1666.4
Maximum1726.2
Range1725.2
Interquartile range (IQR)712.9

Descriptive statistics

Standard deviation529.87052
Coefficient of variation (CV)1.1147815
Kurtosis-0.10370368
Mean475.31335
Median Absolute Deviation (MAD)228.9
Skewness1.0999187
Sum12451784
Variance280762.76
MonotonicityNot monotonic
2025-05-15T14:29:42.161204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 388
 
1.5%
9.7 375
 
1.4%
10.7 355
 
1.4%
10.6 311
 
1.2%
9.6 178
 
0.7%
9.9 165
 
0.6%
10.8 155
 
0.6%
10 118
 
0.5%
10.5 111
 
0.4%
10.2 106
 
0.4%
Other values (10317) 23935
91.3%
ValueCountFrequency (%)
1 4
 
< 0.1%
1.2 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 7
 
< 0.1%
2 38
0.1%
2.2 2
 
< 0.1%
2.3 2
 
< 0.1%
2.4 1
 
< 0.1%
2.7 1
 
< 0.1%
2.9 2
 
< 0.1%
ValueCountFrequency (%)
1726.2 1
< 0.1%
1725 2
< 0.1%
1724.7 1
< 0.1%
1723.8 1
< 0.1%
1722.2 1
< 0.1%
1722.1 1
< 0.1%
1720.3 1
< 0.1%
1719 1
< 0.1%
1718.6 1
< 0.1%
1718.5 1
< 0.1%

Grid Production CurrentPhase2 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10252
Distinct (%)39.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean469.81654
Minimum1
Maximum1731.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:42.240621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q138.6
median228.4
Q3769.5
95-th percentile1665.64
Maximum1731.7
Range1730.7
Interquartile range (IQR)730.9

Descriptive statistics

Standard deviation533.63661
Coefficient of variation (CV)1.1358404
Kurtosis-0.12576706
Mean469.81654
Median Absolute Deviation (MAD)216.7
Skewness1.0945008
Sum12307784
Variance284768.03
MonotonicityNot monotonic
2025-05-15T14:29:42.320683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 511
 
1.9%
9.8 430
 
1.6%
10.6 294
 
1.1%
10.7 233
 
0.9%
9.9 160
 
0.6%
9.6 150
 
0.6%
10.5 121
 
0.5%
11.7 114
 
0.4%
10.2 108
 
0.4%
8.7 102
 
0.4%
Other values (10242) 23974
91.5%
ValueCountFrequency (%)
1 46
0.2%
1.1 2
 
< 0.1%
1.2 1
 
< 0.1%
1.3 1
 
< 0.1%
1.4 1
 
< 0.1%
1.5 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 1
 
< 0.1%
2 2
 
< 0.1%
2.1 2
 
< 0.1%
ValueCountFrequency (%)
1731.7 1
< 0.1%
1730 1
< 0.1%
1726.2 1
< 0.1%
1726.1 2
< 0.1%
1725 1
< 0.1%
1723.3 1
< 0.1%
1723.1 1
< 0.1%
1722.8 1
< 0.1%
1722.6 1
< 0.1%
1722.4 1
< 0.1%

Grid Production CurrentPhase3 Avg. [A]
Real number (ℝ)

High correlation 

Distinct10363
Distinct (%)39.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean478.83199
Minimum1
Maximum1735.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:42.399751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.8
Q152.2
median242.5
Q3778.9
95-th percentile1670.3
Maximum1735.7
Range1734.7
Interquartile range (IQR)726.7

Descriptive statistics

Standard deviation533.31917
Coefficient of variation (CV)1.1137919
Kurtosis-0.13885605
Mean478.83199
Median Absolute Deviation (MAD)231.5
Skewness1.0838135
Sum12543962
Variance284429.33
MonotonicityNot monotonic
2025-05-15T14:29:42.479722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 506
 
1.9%
8.7 414
 
1.6%
8.8 287
 
1.1%
9.5 237
 
0.9%
8.6 226
 
0.9%
9.7 223
 
0.9%
9 132
 
0.5%
8.9 127
 
0.5%
9.3 119
 
0.5%
8.5 117
 
0.4%
Other values (10353) 23809
90.8%
ValueCountFrequency (%)
1 52
0.2%
1.1 1
 
< 0.1%
1.2 3
 
< 0.1%
1.3 2
 
< 0.1%
1.5 1
 
< 0.1%
1.7 1
 
< 0.1%
2 1
 
< 0.1%
2.2 1
 
< 0.1%
2.5 1
 
< 0.1%
2.6 1
 
< 0.1%
ValueCountFrequency (%)
1735.7 1
< 0.1%
1734 1
< 0.1%
1732.8 1
< 0.1%
1732.6 1
< 0.1%
1731.3 2
< 0.1%
1730.8 1
< 0.1%
1730.2 1
< 0.1%
1730 1
< 0.1%
1729.8 1
< 0.1%
1729.7 1
< 0.1%

Grid Production Power Max. [W]
Real number (ℝ)

High correlation 

Distinct13302
Distinct (%)50.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1099.2705
Minimum-15.1
Maximum3169.5
Zeros6
Zeros (%)< 0.1%
Negative3957
Negative (%)15.1%
Memory size1.4 MiB
2025-05-15T14:29:42.703550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-15.1
5-th percentile-10.5
Q1190.4
median684.3
Q31871.2
95-th percentile3151.4
Maximum3169.5
Range3184.6
Interquartile range (IQR)1680.8

Descriptive statistics

Standard deviation1090.8809
Coefficient of variation (CV)0.99236804
Kurtosis-0.80792442
Mean1099.2705
Median Absolute Deviation (MAD)615.3
Skewness0.78998642
Sum28797588
Variance1190021.1
MonotonicityNot monotonic
2025-05-15T14:29:42.779268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10 300
 
1.1%
-10.2 246
 
0.9%
-10.1 237
 
0.9%
-10.3 215
 
0.8%
-9.9 180
 
0.7%
-10.5 178
 
0.7%
-10.4 177
 
0.7%
-10.9 157
 
0.6%
-10.6 146
 
0.6%
-10.8 136
 
0.5%
Other values (13292) 24225
92.4%
ValueCountFrequency (%)
-15.1 1
< 0.1%
-15 1
< 0.1%
-14.2 1
< 0.1%
-14.1 2
< 0.1%
-14 1
< 0.1%
-13.9 2
< 0.1%
-13.3 1
< 0.1%
-13.2 1
< 0.1%
-12.8 1
< 0.1%
-12.6 1
< 0.1%
ValueCountFrequency (%)
3169.5 1
< 0.1%
3165 1
< 0.1%
3164.7 1
< 0.1%
3164.6 1
< 0.1%
3164.5 1
< 0.1%
3164 1
< 0.1%
3163.9 1
< 0.1%
3163.1 1
< 0.1%
3162.6 1
< 0.1%
3162.4 1
< 0.1%

Grid Production Power Min. [W]
Real number (ℝ)

High correlation 

Distinct11692
Distinct (%)44.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean518.82675
Minimum-102.8
Maximum2995.7
Zeros9
Zeros (%)< 0.1%
Negative7764
Negative (%)29.6%
Memory size1.4 MiB
2025-05-15T14:29:42.856052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-102.8
5-th percentile-43.1
Q1-29.9
median151.4
Q3816.2
95-th percentile2220.52
Maximum2995.7
Range3098.5
Interquartile range (IQR)846.1

Descriptive statistics

Standard deviation755.53995
Coefficient of variation (CV)1.4562471
Kurtosis1.2780302
Mean518.82675
Median Absolute Deviation (MAD)186.2
Skewness1.502754
Sum13591704
Variance570840.62
MonotonicityNot monotonic
2025-05-15T14:29:42.935410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-33.3 211
 
0.8%
-33.1 192
 
0.7%
-100 186
 
0.7%
-33.6 174
 
0.7%
-33.8 172
 
0.7%
-33.4 169
 
0.6%
-33.5 162
 
0.6%
-33.2 158
 
0.6%
-33 152
 
0.6%
-33.7 151
 
0.6%
Other values (11682) 24470
93.4%
ValueCountFrequency (%)
-102.8 1
 
< 0.1%
-102.7 4
< 0.1%
-102.6 3
< 0.1%
-102.5 5
< 0.1%
-102.4 2
 
< 0.1%
-102.3 1
 
< 0.1%
-102.2 3
< 0.1%
-102.1 3
< 0.1%
-102 2
 
< 0.1%
-101.9 2
 
< 0.1%
ValueCountFrequency (%)
2995.7 1
 
< 0.1%
2995.5 1
 
< 0.1%
2995.4 1
 
< 0.1%
2995.3 1
 
< 0.1%
2995.2 1
 
< 0.1%
2995 1
 
< 0.1%
2994.7 2
< 0.1%
2994.5 1
 
< 0.1%
2994.3 3
< 0.1%
2994.1 1
 
< 0.1%

Grid Busbar Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.779746
Minimum18
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:43.002713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile21
Q124
median26
Q331
95-th percentile40
Maximum50
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.7372653
Coefficient of variation (CV)0.20652692
Kurtosis0.52627746
Mean27.779746
Median Absolute Deviation (MAD)3
Skewness1.0806131
Sum727746
Variance32.916214
MonotonicityNot monotonic
2025-05-15T14:29:43.071536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
24 3610
13.8%
23 2995
11.4%
25 2799
 
10.7%
22 1601
 
6.1%
26 1579
 
6.0%
27 1499
 
5.7%
28 1480
 
5.6%
29 1237
 
4.7%
30 1215
 
4.6%
31 905
 
3.5%
Other values (23) 7277
27.8%
ValueCountFrequency (%)
18 27
 
0.1%
19 145
 
0.6%
20 485
 
1.9%
21 846
 
3.2%
22 1601
6.1%
23 2995
11.4%
24 3610
13.8%
25 2799
10.7%
26 1579
6.0%
27 1499
5.7%
ValueCountFrequency (%)
50 17
 
0.1%
49 18
 
0.1%
48 15
 
0.1%
47 19
 
0.1%
46 30
 
0.1%
45 30
 
0.1%
44 105
 
0.4%
43 211
0.8%
42 352
1.3%
41 396
1.5%

Grid Production Power StdDev [W]
Real number (ℝ)

High correlation 

Distinct4184
Distinct (%)16.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean113.34809
Minimum0
Maximum1503.5
Zeros56
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:43.148509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q126
median73.6
Q3170.8
95-th percentile336.64
Maximum1503.5
Range1503.5
Interquartile range (IQR)144.8

Descriptive statistics

Standard deviation120.77968
Coefficient of variation (CV)1.0655643
Kurtosis14.851958
Mean113.34809
Median Absolute Deviation (MAD)62.5
Skewness2.5196858
Sum2969379.9
Variance14587.731
MonotonicityNot monotonic
2025-05-15T14:29:43.228487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4 774
 
3.0%
4.5 658
 
2.5%
4.3 619
 
2.4%
4.6 457
 
1.7%
4.2 390
 
1.5%
4.7 308
 
1.2%
4.1 201
 
0.8%
4.8 154
 
0.6%
4.9 71
 
0.3%
4 71
 
0.3%
Other values (4174) 22494
85.8%
ValueCountFrequency (%)
0 56
0.2%
0.1 19
 
0.1%
0.2 1
 
< 0.1%
0.4 1
 
< 0.1%
0.5 4
 
< 0.1%
0.6 3
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
1.1 1
 
< 0.1%
1.4 1
 
< 0.1%
ValueCountFrequency (%)
1503.5 1
< 0.1%
1495.7 1
< 0.1%
1479.3 1
< 0.1%
1476 1
< 0.1%
1472.7 1
< 0.1%
1460.6 1
< 0.1%
1454.1 1
< 0.1%
1437.3 1
< 0.1%
1436.9 1
< 0.1%
1399.3 1
< 0.1%

Grid Production ReactivePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct213
Distinct (%)0.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-1.8112074
Minimum-20.2
Maximum3.4
Zeros20020
Zeros (%)76.4%
Negative4860
Negative (%)18.5%
Memory size1.4 MiB
2025-05-15T14:29:43.305498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-20.2
5-th percentile-11.5
Q10
median0
Q30
95-th percentile0.1
Maximum3.4
Range23.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1275739
Coefficient of variation (CV)-2.2789074
Kurtosis1.8682198
Mean-1.8112074
Median Absolute Deviation (MAD)0
Skewness-1.8982968
Sum-47448.2
Variance17.036866
MonotonicityNot monotonic
2025-05-15T14:29:43.382511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20020
76.4%
0.1 385
 
1.5%
-11.1 231
 
0.9%
-11 221
 
0.8%
-10.9 214
 
0.8%
-10.8 191
 
0.7%
0.2 187
 
0.7%
-11.4 185
 
0.7%
-10.7 171
 
0.7%
-11.2 170
 
0.6%
Other values (203) 4222
 
16.1%
ValueCountFrequency (%)
-20.2 2
< 0.1%
-19.7 1
 
< 0.1%
-19.2 3
< 0.1%
-19.1 1
 
< 0.1%
-18.8 1
 
< 0.1%
-18.5 1
 
< 0.1%
-18.4 1
 
< 0.1%
-18.3 2
< 0.1%
-17.9 1
 
< 0.1%
-17.5 1
 
< 0.1%
ValueCountFrequency (%)
3.4 1
 
< 0.1%
3.3 1
 
< 0.1%
3.2 1
 
< 0.1%
3.1 1
 
< 0.1%
3 2
 
< 0.1%
2.9 4
< 0.1%
2.8 4
< 0.1%
2.7 2
 
< 0.1%
2.6 1
 
< 0.1%
2.5 6
< 0.1%

Grid Production ReactivePower Max. [W]
Real number (ℝ)

High correlation 

Distinct213
Distinct (%)0.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.29987403
Minimum-19.7
Maximum13.7
Zeros5
Zeros (%)< 0.1%
Negative3740
Negative (%)14.3%
Memory size1.4 MiB
2025-05-15T14:29:43.456964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-19.7
5-th percentile-10.8
Q10.4
median0.7
Q31.9
95-th percentile10.1
Maximum13.7
Range33.4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation5.2704981
Coefficient of variation (CV)17.575707
Kurtosis1.2048313
Mean0.29987403
Median Absolute Deviation (MAD)0.5
Skewness-0.6015736
Sum7855.8
Variance27.77815
MonotonicityNot monotonic
2025-05-15T14:29:43.535885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6 2885
 
11.0%
0.7 2297
 
8.8%
0.5 1848
 
7.1%
0.4 1317
 
5.0%
0.2 1237
 
4.7%
0.8 1136
 
4.3%
0.3 1118
 
4.3%
0.9 757
 
2.9%
1 549
 
2.1%
1.1 482
 
1.8%
Other values (203) 12571
48.0%
ValueCountFrequency (%)
-19.7 1
< 0.1%
-19.4 1
< 0.1%
-19.2 1
< 0.1%
-18.7 2
< 0.1%
-17.9 1
< 0.1%
-17.7 2
< 0.1%
-16.9 1
< 0.1%
-16.8 1
< 0.1%
-16.3 1
< 0.1%
-14.7 1
< 0.1%
ValueCountFrequency (%)
13.7 1
 
< 0.1%
13.6 5
 
< 0.1%
13.5 2
 
< 0.1%
13.4 11
 
< 0.1%
13.3 16
0.1%
13.2 33
0.1%
13.1 31
0.1%
13 31
0.1%
12.9 30
0.1%
12.8 27
0.1%

Grid Production ReactivePower Min. [W]
Real number (ℝ)

High correlation 

Distinct455
Distinct (%)1.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-5.6140932
Minimum-65.2
Maximum1.9
Zeros10
Zeros (%)< 0.1%
Negative26109
Negative (%)99.6%
Memory size1.4 MiB
2025-05-15T14:29:43.614095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-65.2
5-th percentile-23.2
Q1-4.4
median-1.1
Q3-0.7
95-th percentile-0.5
Maximum1.9
Range67.1
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation8.3873914
Coefficient of variation (CV)-1.4939886
Kurtosis3.5768893
Mean-5.6140932
Median Absolute Deviation (MAD)0.6
Skewness-1.9026832
Sum-147072.4
Variance70.348334
MonotonicityNot monotonic
2025-05-15T14:29:43.691313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7 3016
 
11.5%
-0.8 2425
 
9.3%
-0.6 2048
 
7.8%
-0.5 1742
 
6.6%
-0.9 1535
 
5.9%
-0.4 1157
 
4.4%
-1 879
 
3.4%
-1.1 634
 
2.4%
-1.2 444
 
1.7%
-1.3 333
 
1.3%
Other values (445) 11984
45.7%
ValueCountFrequency (%)
-65.2 1
< 0.1%
-64.7 1
< 0.1%
-61.7 1
< 0.1%
-60.1 1
< 0.1%
-58.3 1
< 0.1%
-57 1
< 0.1%
-56.3 1
< 0.1%
-54 1
< 0.1%
-53.7 1
< 0.1%
-52.8 1
< 0.1%
ValueCountFrequency (%)
1.9 1
 
< 0.1%
1.8 13
< 0.1%
1.7 9
< 0.1%
1.6 7
 
< 0.1%
1.5 3
 
< 0.1%
0.9 1
 
< 0.1%
0.7 22
0.1%
0.6 21
0.1%
0.5 1
 
< 0.1%
0 10
< 0.1%

Grid Production ReactivePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct115
Distinct (%)0.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.78016949
Minimum0
Maximum12.4
Zeros7545
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:43.769565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.2
Q30.7
95-th percentile4.1
Maximum12.4
Range12.4
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation1.6669605
Coefficient of variation (CV)2.1366646
Kurtosis13.028984
Mean0.78016949
Median Absolute Deviation (MAD)0.2
Skewness3.5468634
Sum20438.1
Variance2.7787574
MonotonicityNot monotonic
2025-05-15T14:29:43.852462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7545
28.8%
0.1 4897
18.7%
0.2 2486
 
9.5%
0.3 2003
 
7.6%
0.4 1286
 
4.9%
1.1 1237
 
4.7%
0.5 925
 
3.5%
1 775
 
3.0%
1.2 503
 
1.9%
0.6 462
 
1.8%
Other values (105) 4078
15.6%
ValueCountFrequency (%)
0 7545
28.8%
0.1 4897
18.7%
0.2 2486
 
9.5%
0.3 2003
 
7.6%
0.4 1286
 
4.9%
0.5 925
 
3.5%
0.6 462
 
1.8%
0.7 184
 
0.7%
0.8 95
 
0.4%
0.9 128
 
0.5%
ValueCountFrequency (%)
12.4 1
 
< 0.1%
11.5 1
 
< 0.1%
11.3 2
 
< 0.1%
11.2 1
 
< 0.1%
11.1 3
< 0.1%
11 1
 
< 0.1%
10.9 1
 
< 0.1%
10.8 1
 
< 0.1%
10.7 4
< 0.1%
10.6 5
< 0.1%

Grid Production PossiblePower Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2919
Distinct (%)11.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean859.34397
Minimum0
Maximum3001
Zeros2657
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:43.931485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q189
median426
Q31414
95-th percentile2977
Maximum3001
Range3001
Interquartile range (IQR)1325

Descriptive statistics

Standard deviation963.50261
Coefficient of variation (CV)1.1212072
Kurtosis-0.23536874
Mean859.34397
Median Absolute Deviation (MAD)401
Skewness1.057763
Sum22512234
Variance928337.28
MonotonicityNot monotonic
2025-05-15T14:29:44.009601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2657
 
10.1%
3000 516
 
2.0%
30 161
 
0.6%
23 156
 
0.6%
2999 151
 
0.6%
29 118
 
0.5%
28 114
 
0.4%
25 97
 
0.4%
2998 95
 
0.4%
51 92
 
0.4%
Other values (2909) 22040
84.1%
ValueCountFrequency (%)
0 2657
10.1%
1 23
 
0.1%
2 27
 
0.1%
3 27
 
0.1%
4 30
 
0.1%
5 20
 
0.1%
6 24
 
0.1%
7 28
 
0.1%
8 37
 
0.1%
9 22
 
0.1%
ValueCountFrequency (%)
3001 2
 
< 0.1%
3000 516
2.0%
2999 151
 
0.6%
2998 95
 
0.4%
2997 85
 
0.3%
2996 60
 
0.2%
2995 44
 
0.2%
2994 45
 
0.2%
2993 38
 
0.1%
2992 28
 
0.1%

Grid Production PossiblePower Max. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct3047
Distinct (%)11.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1130.3858
Minimum0
Maximum3150
Zeros2621
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:44.233580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1207
median713
Q31945
95-th percentile3150
Maximum3150
Range3150
Interquartile range (IQR)1738

Descriptive statistics

Standard deviation1095.1755
Coefficient of variation (CV)0.96885106
Kurtosis-0.87838119
Mean1130.3858
Median Absolute Deviation (MAD)619
Skewness0.76075511
Sum29612718
Variance1199409.4
MonotonicityNot monotonic
2025-05-15T14:29:44.310733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3150 2660
 
10.1%
0 2621
 
10.0%
3000 195
 
0.7%
30 116
 
0.4%
23 114
 
0.4%
29 75
 
0.3%
28 72
 
0.3%
51 64
 
0.2%
25 60
 
0.2%
34 60
 
0.2%
Other values (3037) 20160
76.9%
ValueCountFrequency (%)
0 2621
10.0%
22 21
 
0.1%
23 114
 
0.4%
24 40
 
0.2%
25 60
 
0.2%
26 21
 
0.1%
27 3
 
< 0.1%
28 72
 
0.3%
29 75
 
0.3%
30 116
 
0.4%
ValueCountFrequency (%)
3150 2660
10.1%
3149 1
 
< 0.1%
3148 3
 
< 0.1%
3147 3
 
< 0.1%
3146 4
 
< 0.1%
3145 8
 
< 0.1%
3144 5
 
< 0.1%
3143 6
 
< 0.1%
3142 3
 
< 0.1%
3141 5
 
< 0.1%

Grid Production PossiblePower Min. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct2886
Distinct (%)11.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean547.3095
Minimum-100
Maximum3000
Zeros3013
Zeros (%)11.5%
Negative3320
Negative (%)12.7%
Memory size1.4 MiB
2025-05-15T14:29:44.386796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-42.2
Q15
median163
Q3863
95-th percentile2291
Maximum3000
Range3100
Interquartile range (IQR)858

Descriptive statistics

Standard deviation772.38577
Coefficient of variation (CV)1.4112413
Kurtosis1.3027757
Mean547.3095
Median Absolute Deviation (MAD)171
Skewness1.5105861
Sum14337867
Variance596579.78
MonotonicityNot monotonic
2025-05-15T14:29:44.465566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3013
 
11.5%
-100 572
 
2.2%
3000 260
 
1.0%
30 161
 
0.6%
23 143
 
0.5%
29 119
 
0.5%
34 106
 
0.4%
25 103
 
0.4%
28 101
 
0.4%
51 94
 
0.4%
Other values (2876) 21525
82.1%
ValueCountFrequency (%)
-100 572
2.2%
-99 11
 
< 0.1%
-98 7
 
< 0.1%
-97 8
 
< 0.1%
-96 7
 
< 0.1%
-95 7
 
< 0.1%
-94 8
 
< 0.1%
-93 8
 
< 0.1%
-92 4
 
< 0.1%
-91 7
 
< 0.1%
ValueCountFrequency (%)
3000 260
1.0%
2999 2
 
< 0.1%
2997 2
 
< 0.1%
2996 2
 
< 0.1%
2995 3
 
< 0.1%
2993 3
 
< 0.1%
2992 1
 
< 0.1%
2989 4
 
< 0.1%
2988 2
 
< 0.1%
2986 1
 
< 0.1%

Grid Production PossiblePower StdDev [W]
Real number (ℝ)

High correlation  Zeros 

Distinct611
Distinct (%)2.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean110.81838
Minimum0
Maximum1061
Zeros3789
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:44.546973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126
median74
Q3170
95-th percentile334
Maximum1061
Range1061
Interquartile range (IQR)144

Descriptive statistics

Standard deviation111.96568
Coefficient of variation (CV)1.010353
Kurtosis2.7006527
Mean110.81838
Median Absolute Deviation (MAD)62
Skewness1.4536011
Sum2903109
Variance12536.313
MonotonicityNot monotonic
2025-05-15T14:29:44.626343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3789
 
14.5%
31 198
 
0.8%
29 182
 
0.7%
33 180
 
0.7%
34 175
 
0.7%
40 174
 
0.7%
35 168
 
0.6%
25 167
 
0.6%
38 167
 
0.6%
44 165
 
0.6%
Other values (601) 20832
79.5%
ValueCountFrequency (%)
0 3789
14.5%
1 55
 
0.2%
2 39
 
0.1%
3 28
 
0.1%
4 30
 
0.1%
5 42
 
0.2%
6 53
 
0.2%
7 78
 
0.3%
8 85
 
0.3%
9 97
 
0.4%
ValueCountFrequency (%)
1061 1
< 0.1%
998 1
< 0.1%
968 1
< 0.1%
925 1
< 0.1%
889 1
< 0.1%
863 1
< 0.1%
806 1
< 0.1%
792 1
< 0.1%
780 1
< 0.1%
773 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:44.695412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:44.729369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:44.769983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:44.803645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:44.842876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:44.876535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:44.918060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:44.951835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:44.992635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.026451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.065954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.099450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.142006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.175687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.216596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.250551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Active power limit [W]
Real number (ℝ)

High correlation  Skewed 

Distinct15
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2998.2164
Minimum0
Maximum3000
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:45.283476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3000
Q13000
median3000
Q33000
95-th percentile3000
Maximum3000
Range3000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation45.464903
Coefficient of variation (CV)0.015163983
Kurtosis3621.0708
Mean2998.2164
Median Absolute Deviation (MAD)0
Skewness-56.130325
Sum78544275
Variance2067.0574
MonotonicityNot monotonic
2025-05-15T14:29:45.337821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3000 26043
99.4%
2820 82
 
0.3%
2865 14
 
0.1%
2955 12
 
< 0.1%
2910 9
 
< 0.1%
2460 6
 
< 0.1%
0 5
 
< 0.1%
2505 5
 
< 0.1%
2595 5
 
< 0.1%
2550 4
 
< 0.1%
Other values (5) 12
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 5
< 0.1%
2415 2
 
< 0.1%
2460 6
< 0.1%
2505 5
< 0.1%
2550 4
< 0.1%
2595 5
< 0.1%
2640 3
< 0.1%
2685 3
< 0.1%
2730 2
 
< 0.1%
2775 2
 
< 0.1%
ValueCountFrequency (%)
3000 26043
99.4%
2955 12
 
< 0.1%
2910 9
 
< 0.1%
2865 14
 
0.1%
2820 82
 
0.3%
2775 2
 
< 0.1%
2730 2
 
< 0.1%
2685 3
 
< 0.1%
2640 3
 
< 0.1%
2595 5
 
< 0.1%

Active power limit source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26196 
0.0
 
1

Length

Max length4
Median length4
Mean length3.9999618
Min length3

Characters and Unicode

Total characters104787
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26196
> 99.9%
0.0 1
 
< 0.1%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.400292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.437822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26196
> 99.9%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104787
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104787
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104787
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Reactive power set point [var]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
0.0
26197 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.482105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.515755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52394
66.7%
. 26197
33.3%

Power factor set point
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
1.0
26196 
0.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters78591
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 26196
> 99.9%
0.0 1
 
< 0.1%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.556010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.594005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 26196
> 99.9%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 26198
33.3%
. 26197
33.3%
1 26196
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 26198
33.3%
. 26197
33.3%
1 26196
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 26198
33.3%
. 26197
33.3%
1 26196
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 26198
33.3%
. 26197
33.3%
1 26196
33.3%

Power factor set point source
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.5 MiB
11.0
26196 
0.0
 
1

Length

Max length4
Median length4
Mean length3.9999618
Min length3

Characters and Unicode

Total characters104787
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row11.0
2nd row11.0
3rd row11.0
4th row11.0
5th row11.0

Common Values

ValueCountFrequency (%)
11.0 26196
> 99.9%
0.0 1
 
< 0.1%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:45.638347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:45.675882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
11.0 26196
> 99.9%
0.0 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104787
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104787
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104787
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 52392
50.0%
0 26198
25.0%
. 26197
25.0%

Controller Ground Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean22.414399
Minimum10
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:45.721033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q118
median21
Q326
95-th percentile34
Maximum40
Range30
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.6765292
Coefficient of variation (CV)0.25325369
Kurtosis-0.069842401
Mean22.414399
Median Absolute Deviation (MAD)4
Skewness0.62836053
Sum587190
Variance32.222984
MonotonicityNot monotonic
2025-05-15T14:29:45.786439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19 2464
 
9.4%
18 2372
 
9.1%
20 1987
 
7.6%
21 1789
 
6.8%
25 1765
 
6.7%
17 1512
 
5.8%
22 1397
 
5.3%
24 1384
 
5.3%
23 1378
 
5.3%
26 1166
 
4.4%
Other values (21) 8983
34.3%
ValueCountFrequency (%)
10 18
 
0.1%
11 92
 
0.4%
12 246
 
0.9%
13 278
 
1.1%
14 630
 
2.4%
15 866
 
3.3%
16 1117
4.3%
17 1512
5.8%
18 2372
9.1%
19 2464
9.4%
ValueCountFrequency (%)
40 46
 
0.2%
39 35
 
0.1%
38 78
 
0.3%
37 194
 
0.7%
36 196
 
0.7%
35 420
1.6%
34 569
2.2%
33 315
1.2%
32 462
1.8%
31 388
1.5%

Controller Top Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct24
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25.470092
Minimum19
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:45.847604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile21
Q123
median24
Q327
95-th percentile33
Maximum42
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.9126193
Coefficient of variation (CV)0.15361622
Kurtosis1.9952652
Mean25.470092
Median Absolute Deviation (MAD)2
Skewness1.4640882
Sum667240
Variance15.30859
MonotonicityNot monotonic
2025-05-15T14:29:45.907765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
23 5966
22.8%
24 4210
16.1%
22 3187
12.2%
25 2158
 
8.2%
27 1807
 
6.9%
28 1343
 
5.1%
21 1277
 
4.9%
26 1255
 
4.8%
29 941
 
3.6%
32 877
 
3.3%
Other values (14) 3176
12.1%
ValueCountFrequency (%)
19 7
 
< 0.1%
20 183
 
0.7%
21 1277
 
4.9%
22 3187
12.2%
23 5966
22.8%
24 4210
16.1%
25 2158
 
8.2%
26 1255
 
4.8%
27 1807
 
6.9%
28 1343
 
5.1%
ValueCountFrequency (%)
42 14
 
0.1%
41 33
 
0.1%
40 107
 
0.4%
39 141
 
0.5%
38 217
0.8%
37 171
0.7%
36 122
 
0.5%
35 187
0.7%
34 280
1.1%
33 387
1.5%

Controller Hub Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct35
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean24.235027
Minimum11
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:45.971060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile17
Q120
median23
Q328
95-th percentile36
Maximum45
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7806785
Coefficient of variation (CV)0.23852577
Kurtosis0.41944948
Mean24.235027
Median Absolute Deviation (MAD)4
Skewness0.85642393
Sum634885
Variance33.416244
MonotonicityNot monotonic
2025-05-15T14:29:46.040851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
21 2524
 
9.6%
20 2436
 
9.3%
23 1933
 
7.4%
19 1839
 
7.0%
18 1794
 
6.8%
22 1773
 
6.8%
24 1493
 
5.7%
25 1435
 
5.5%
28 1421
 
5.4%
26 1240
 
4.7%
Other values (25) 8309
31.7%
ValueCountFrequency (%)
11 7
 
< 0.1%
12 15
 
0.1%
13 27
 
0.1%
14 141
 
0.5%
15 398
 
1.5%
16 420
 
1.6%
17 747
 
2.9%
18 1794
6.8%
19 1839
7.0%
20 2436
9.3%
ValueCountFrequency (%)
45 12
 
< 0.1%
44 46
 
0.2%
43 53
 
0.2%
42 79
 
0.3%
41 79
 
0.3%
40 120
 
0.5%
39 194
0.7%
38 282
1.1%
37 329
1.3%
36 269
1.0%

Controller VCP Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.484674
Minimum28
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:46.105703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile30
Q134
median38
Q343
95-th percentile48
Maximum58
Range30
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.7357014
Coefficient of variation (CV)0.14903859
Kurtosis-0.5656283
Mean38.484674
Median Absolute Deviation (MAD)4
Skewness0.40896622
Sum1008183
Variance32.898271
MonotonicityNot monotonic
2025-05-15T14:29:46.173778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
34 1738
 
6.6%
36 1668
 
6.4%
30 1604
 
6.1%
35 1568
 
6.0%
33 1509
 
5.8%
38 1450
 
5.5%
41 1448
 
5.5%
39 1429
 
5.5%
40 1428
 
5.4%
31 1416
 
5.4%
Other values (21) 10939
41.7%
ValueCountFrequency (%)
28 4
 
< 0.1%
29 124
 
0.5%
30 1604
6.1%
31 1416
5.4%
32 1403
5.4%
33 1509
5.8%
34 1738
6.6%
35 1568
6.0%
36 1668
6.4%
37 1397
5.3%
ValueCountFrequency (%)
58 11
 
< 0.1%
57 15
 
0.1%
56 19
 
0.1%
55 69
 
0.3%
54 98
 
0.4%
53 25
 
0.1%
52 66
 
0.3%
51 193
0.7%
50 279
1.1%
49 429
1.6%

Controller VCP ChokecoilTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct110
Distinct (%)0.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean65.967363
Minimum20
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:46.400417image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile31
Q156
median64
Q373
95-th percentile111
Maximum129
Range109
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.32098
Coefficient of variation (CV)0.32320497
Kurtosis0.45047664
Mean65.967363
Median Absolute Deviation (MAD)8
Skewness0.57776973
Sum1728147
Variance454.58418
MonotonicityNot monotonic
2025-05-15T14:29:46.477968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 1183
 
4.5%
64 1157
 
4.4%
63 1154
 
4.4%
62 1094
 
4.2%
66 1020
 
3.9%
67 964
 
3.7%
61 961
 
3.7%
60 837
 
3.2%
68 790
 
3.0%
69 652
 
2.5%
Other values (100) 16385
62.5%
ValueCountFrequency (%)
20 8
 
< 0.1%
21 16
 
0.1%
22 7
 
< 0.1%
23 29
 
0.1%
24 49
 
0.2%
25 111
 
0.4%
26 208
0.8%
27 281
1.1%
28 200
0.8%
29 131
0.5%
ValueCountFrequency (%)
129 6
 
< 0.1%
128 25
0.1%
127 30
0.1%
126 48
0.2%
125 30
0.1%
124 24
0.1%
123 30
0.1%
122 36
0.1%
121 45
0.2%
120 52
0.2%

Controller VCP WaterTemp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34.363782
Minimum17
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:46.549824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q130
median35
Q337
95-th percentile41
Maximum55
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.346547
Coefficient of variation (CV)0.12648628
Kurtosis0.56257331
Mean34.363782
Median Absolute Deviation (MAD)3
Skewness0.45552023
Sum900228
Variance18.89247
MonotonicityNot monotonic
2025-05-15T14:29:46.621705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
37 5441
20.8%
30 3835
14.6%
31 3193
12.2%
38 2536
9.7%
36 2245
8.6%
29 1792
 
6.8%
32 1109
 
4.2%
35 880
 
3.4%
33 832
 
3.2%
34 747
 
2.9%
Other values (29) 3587
13.7%
ValueCountFrequency (%)
17 8
 
< 0.1%
18 9
 
< 0.1%
19 5
 
< 0.1%
20 7
 
< 0.1%
21 7
 
< 0.1%
22 4
 
< 0.1%
23 16
 
0.1%
24 28
 
0.1%
25 36
 
0.1%
26 120
0.5%
ValueCountFrequency (%)
55 7
 
< 0.1%
54 7
 
< 0.1%
53 10
 
< 0.1%
52 6
 
< 0.1%
51 13
 
< 0.1%
50 28
 
0.1%
49 91
0.3%
48 53
0.2%
47 51
0.2%
46 70
0.3%

Spinner Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct33
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15.76692
Minimum5
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:46.687967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q112
median15
Q319
95-th percentile27
Maximum37
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.5612774
Coefficient of variation (CV)0.35271806
Kurtosis0.65656501
Mean15.76692
Median Absolute Deviation (MAD)3
Skewness0.89669035
Sum413046
Variance30.927806
MonotonicityNot monotonic
2025-05-15T14:29:46.753764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
12 2639
 
10.1%
14 2188
 
8.3%
16 2088
 
8.0%
13 1952
 
7.4%
11 1862
 
7.1%
10 1670
 
6.4%
15 1665
 
6.4%
18 1390
 
5.3%
17 1381
 
5.3%
19 1294
 
4.9%
Other values (23) 8068
30.8%
ValueCountFrequency (%)
5 14
 
0.1%
6 202
 
0.8%
7 478
 
1.8%
8 481
 
1.8%
9 1221
4.7%
10 1670
6.4%
11 1862
7.1%
12 2639
10.1%
13 1952
7.4%
14 2188
8.3%
ValueCountFrequency (%)
37 8
 
< 0.1%
36 34
 
0.1%
35 60
 
0.2%
34 55
 
0.2%
33 55
 
0.2%
32 113
 
0.4%
31 74
 
0.3%
30 167
0.6%
29 364
1.4%
28 355
1.4%

Spinner Temp. SlipRing Avg. [°C]
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.6 MiB
999.0
26197 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130985
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999.0
2nd row999.0
3rd row999.0
4th row999.0
5th row999.0

Common Values

ValueCountFrequency (%)
999.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:46.817423image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:46.852563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
999.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 78591
60.0%
. 26197
 
20.0%
0 26197
 
20.0%

Blades PitchAngle Min. [°]
Real number (ℝ)

High correlation 

Distinct379
Distinct (%)1.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.7974386
Minimum-2.7
Maximum87.6
Zeros239
Zeros (%)0.9%
Negative11565
Negative (%)44.1%
Memory size1.4 MiB
2025-05-15T14:29:46.902799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.3
Q1-1.2
median0.6
Q313.4
95-th percentile20
Maximum87.6
Range90.3
Interquartile range (IQR)14.6

Descriptive statistics

Standard deviation13.575326
Coefficient of variation (CV)1.9971237
Kurtosis11.910584
Mean6.7974386
Median Absolute Deviation (MAD)2.5
Skewness2.9645062
Sum178072.5
Variance184.28946
MonotonicityNot monotonic
2025-05-15T14:29:46.979073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3895
 
14.9%
-2.3 810
 
3.1%
-2.2 623
 
2.4%
0.9 623
 
2.4%
-1.2 603
 
2.3%
-1.3 598
 
2.3%
-1.1 567
 
2.2%
-1 553
 
2.1%
-1.4 539
 
2.1%
-0.9 536
 
2.0%
Other values (369) 16850
64.3%
ValueCountFrequency (%)
-2.7 9
 
< 0.1%
-2.6 110
 
0.4%
-2.5 114
 
0.4%
-2.4 369
1.4%
-2.3 810
3.1%
-2.2 623
2.4%
-2.1 504
1.9%
-2 483
1.8%
-1.9 456
1.7%
-1.8 437
1.7%
ValueCountFrequency (%)
87.6 127
0.5%
87.5 4
 
< 0.1%
78.1 151
0.6%
78 87
0.3%
77.8 1
 
< 0.1%
75.8 1
 
< 0.1%
69.2 1
 
< 0.1%
68 1
 
< 0.1%
67.3 1
 
< 0.1%
64.3 1
 
< 0.1%

Blades PitchAngle Max. [°]
Real number (ℝ)

High correlation 

Distinct211
Distinct (%)0.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.8426995
Minimum-3
Maximum87.6
Zeros156
Zeros (%)0.6%
Negative20848
Negative (%)79.5%
Memory size1.4 MiB
2025-05-15T14:29:47.055212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-2.8
Q1-2.8
median-2.8
Q3-1.1
95-th percentile20
Maximum87.6
Range90.6
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation11.410733
Coefficient of variation (CV)6.1924003
Kurtosis23.996292
Mean1.8426995
Median Absolute Deviation (MAD)0
Skewness4.2231751
Sum48273.2
Variance130.20483
MonotonicityNot monotonic
2025-05-15T14:29:47.130365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.8 13710
52.3%
20 3516
 
13.4%
-2.7 1417
 
5.4%
-2.6 932
 
3.6%
-2.5 385
 
1.5%
-2.4 323
 
1.2%
-2.3 289
 
1.1%
-1.3 288
 
1.1%
-1.2 267
 
1.0%
-1.1 248
 
0.9%
Other values (201) 4822
 
18.4%
ValueCountFrequency (%)
-3 1
 
< 0.1%
-2.8 13710
52.3%
-2.7 1417
 
5.4%
-2.6 932
 
3.6%
-2.5 385
 
1.5%
-2.4 323
 
1.2%
-2.3 289
 
1.1%
-2.2 227
 
0.9%
-2.1 197
 
0.8%
-2 195
 
0.7%
ValueCountFrequency (%)
87.6 92
0.4%
87.5 5
 
< 0.1%
87.4 1
 
< 0.1%
78 177
0.7%
77.1 1
 
< 0.1%
76.7 4
 
< 0.1%
76.5 2
 
< 0.1%
76.4 2
 
< 0.1%
67.6 1
 
< 0.1%
64.6 1
 
< 0.1%

Blades PitchAngle Avg. [°]
Real number (ℝ)

High correlation  Zeros 

Distinct323
Distinct (%)1.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.5824522
Minimum-2.7
Maximum87.6
Zeros311
Zeros (%)1.2%
Negative17142
Negative (%)65.4%
Memory size1.4 MiB
2025-05-15T14:29:47.207464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7
5-th percentile-2.6
Q1-2.4
median-1.4
Q33.5
95-th percentile20
Maximum87.6
Range90.3
Interquartile range (IQR)5.9

Descriptive statistics

Standard deviation11.710198
Coefficient of variation (CV)3.2687661
Kurtosis21.002521
Mean3.5824522
Median Absolute Deviation (MAD)1.1
Skewness3.871409
Sum93849.5
Variance137.12875
MonotonicityNot monotonic
2025-05-15T14:29:47.287522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.5 4282
 
16.3%
20 3495
 
13.3%
-2.4 1726
 
6.6%
-2.6 1360
 
5.2%
-2.3 997
 
3.8%
-2.2 744
 
2.8%
-1.9 641
 
2.4%
-2 636
 
2.4%
-2.1 593
 
2.3%
-1.8 561
 
2.1%
Other values (313) 11162
42.6%
ValueCountFrequency (%)
-2.7 287
 
1.1%
-2.6 1360
 
5.2%
-2.5 4282
16.3%
-2.4 1726
6.6%
-2.3 997
 
3.8%
-2.2 744
 
2.8%
-2.1 593
 
2.3%
-2 636
 
2.4%
-1.9 641
 
2.4%
-1.8 561
 
2.1%
ValueCountFrequency (%)
87.6 92
0.4%
87.5 6
 
< 0.1%
87.4 1
 
< 0.1%
87.3 1
 
< 0.1%
86.9 1
 
< 0.1%
86.5 1
 
< 0.1%
86.4 1
 
< 0.1%
85.9 1
 
< 0.1%
85.4 1
 
< 0.1%
84.5 1
 
< 0.1%

Blades PitchAngle StdDev [°]
Real number (ℝ)

High correlation  Zeros 

Distinct187
Distinct (%)0.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0451388
Minimum0
Maximum42.1
Zeros5310
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:47.365296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median0.3
Q31
95-th percentile3.8
Maximum42.1
Range42.1
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation2.2998131
Coefficient of variation (CV)2.2004859
Kurtosis60.507043
Mean1.0451388
Median Absolute Deviation (MAD)0.3
Skewness6.1867521
Sum27379.5
Variance5.2891401
MonotonicityNot monotonic
2025-05-15T14:29:47.445590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5310
20.3%
0.1 3593
13.7%
0.2 2330
 
8.9%
0.3 1956
 
7.5%
0.4 1709
 
6.5%
0.5 1421
 
5.4%
0.6 1108
 
4.2%
0.7 896
 
3.4%
0.8 639
 
2.4%
0.9 475
 
1.8%
Other values (177) 6760
25.8%
ValueCountFrequency (%)
0 5310
20.3%
0.1 3593
13.7%
0.2 2330
8.9%
0.3 1956
 
7.5%
0.4 1709
 
6.5%
0.5 1421
 
5.4%
0.6 1108
 
4.2%
0.7 896
 
3.4%
0.8 639
 
2.4%
0.9 475
 
1.8%
ValueCountFrequency (%)
42.1 1
< 0.1%
40.6 1
< 0.1%
38.5 1
< 0.1%
38.2 1
< 0.1%
38 2
< 0.1%
34.8 1
< 0.1%
34.7 1
< 0.1%
34.1 1
< 0.1%
33.8 1
< 0.1%
33.1 2
< 0.1%

HVTrafo Phase1 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct68
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean42.762454
Minimum22
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:47.524305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile30
Q132
median36
Q348
95-th percentile76
Maximum89
Range67
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.843273
Coefficient of variation (CV)0.34710994
Kurtosis0.30374934
Mean42.762454
Median Absolute Deviation (MAD)5
Skewness1.2565703
Sum1120248
Variance220.32275
MonotonicityNot monotonic
2025-05-15T14:29:47.605203image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 2740
 
10.5%
30 2582
 
9.9%
32 2375
 
9.1%
33 1473
 
5.6%
34 1301
 
5.0%
36 1179
 
4.5%
35 1144
 
4.4%
38 895
 
3.4%
39 869
 
3.3%
37 844
 
3.2%
Other values (58) 10795
41.2%
ValueCountFrequency (%)
22 19
 
0.1%
23 11
 
< 0.1%
24 5
 
< 0.1%
25 6
 
< 0.1%
26 7
 
< 0.1%
27 6
 
< 0.1%
28 6
 
< 0.1%
29 394
 
1.5%
30 2582
9.9%
31 2740
10.5%
ValueCountFrequency (%)
89 12
 
< 0.1%
88 23
 
0.1%
87 13
 
< 0.1%
86 15
 
0.1%
85 3
 
< 0.1%
84 13
 
< 0.1%
83 39
 
0.1%
82 42
 
0.2%
81 78
0.3%
80 121
0.5%

HVTrafo Phase2 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct66
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean45.238959
Minimum25
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:47.683295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile32
Q135
median39
Q352
95-th percentile74
Maximum90
Range65
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.989471
Coefficient of variation (CV)0.30923504
Kurtosis0.1306546
Mean45.238959
Median Absolute Deviation (MAD)5
Skewness1.1568022
Sum1185125
Variance195.7053
MonotonicityNot monotonic
2025-05-15T14:29:47.760977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 2839
 
10.8%
33 2033
 
7.8%
35 1923
 
7.3%
36 1507
 
5.8%
32 1313
 
5.0%
38 1273
 
4.9%
37 1153
 
4.4%
39 992
 
3.8%
40 927
 
3.5%
42 895
 
3.4%
Other values (56) 11342
43.3%
ValueCountFrequency (%)
25 6
 
< 0.1%
26 13
 
< 0.1%
27 10
 
< 0.1%
28 6
 
< 0.1%
29 7
 
< 0.1%
30 13
 
< 0.1%
31 166
 
0.6%
32 1313
5.0%
33 2033
7.8%
34 2839
10.8%
ValueCountFrequency (%)
90 22
 
0.1%
89 6
 
< 0.1%
88 11
 
< 0.1%
87 6
 
< 0.1%
86 10
 
< 0.1%
85 15
 
0.1%
84 90
0.3%
83 92
0.4%
82 87
0.3%
81 103
0.4%

HVTrafo Phase3 Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct69
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean43.310532
Minimum21
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:47.839255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile30
Q133
median37
Q349
95-th percentile76
Maximum89
Range68
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.720246
Coefficient of variation (CV)0.33987682
Kurtosis0.22353014
Mean43.310532
Median Absolute Deviation (MAD)5
Skewness1.2215071
Sum1134606
Variance216.68563
MonotonicityNot monotonic
2025-05-15T14:29:47.918703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 2806
 
10.7%
33 2028
 
7.7%
34 1651
 
6.3%
30 1468
 
5.6%
31 1443
 
5.5%
36 1245
 
4.8%
35 1216
 
4.6%
38 981
 
3.7%
40 918
 
3.5%
37 897
 
3.4%
Other values (59) 11544
44.0%
ValueCountFrequency (%)
21 3
 
< 0.1%
22 17
 
0.1%
23 10
 
< 0.1%
24 4
 
< 0.1%
25 8
 
< 0.1%
26 6
 
< 0.1%
27 6
 
< 0.1%
28 83
 
0.3%
29 607
2.3%
30 1468
5.6%
ValueCountFrequency (%)
89 7
 
< 0.1%
88 22
 
0.1%
87 6
 
< 0.1%
86 11
 
< 0.1%
85 8
 
< 0.1%
84 14
 
0.1%
83 23
 
0.1%
82 51
 
0.2%
81 111
0.4%
80 135
0.5%

HVTrafo AirOutlet Temp. Avg. [°C]
Real number (ℝ)

High correlation 

Distinct39
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.993816
Minimum17
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:48.147934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile32
Q135
median38
Q342
95-th percentile48
Maximum55
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.9109454
Coefficient of variation (CV)0.12594165
Kurtosis-0.33544211
Mean38.993816
Median Absolute Deviation (MAD)4
Skewness0.3671146
Sum1021521
Variance24.117384
MonotonicityNot monotonic
2025-05-15T14:29:48.219724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
34 2186
 
8.3%
38 2064
 
7.9%
33 2019
 
7.7%
37 1939
 
7.4%
36 1832
 
7.0%
35 1811
 
6.9%
39 1802
 
6.9%
42 1612
 
6.2%
40 1544
 
5.9%
41 1506
 
5.7%
Other values (29) 7882
30.1%
ValueCountFrequency (%)
17 1
 
< 0.1%
18 2
 
< 0.1%
19 4
 
< 0.1%
20 1
 
< 0.1%
21 5
 
< 0.1%
22 8
 
< 0.1%
23 10
< 0.1%
24 7
 
< 0.1%
25 12
< 0.1%
26 23
0.1%
ValueCountFrequency (%)
55 16
 
0.1%
54 27
 
0.1%
53 25
 
0.1%
52 44
 
0.2%
51 100
 
0.4%
50 259
 
1.0%
49 490
1.9%
48 598
2.3%
47 744
2.8%
46 835
3.2%
Distinct1
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Memory size2.6 MiB
600.0
26197 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters130985
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row600.0
2nd row600.0
3rd row600.0
4th row600.0
5th row600.0

Common Values

ValueCountFrequency (%)
600.0 26197
> 99.9%
(Missing) 11
 
< 0.1%

Length

2025-05-15T14:29:48.285404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-15T14:29:48.320399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
600.0 26197
100.0%

Most occurring characters

ValueCountFrequency (%)
0 78591
60.0%
6 26197
 
20.0%
. 26197
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 78591
60.0%
6 26197
 
20.0%
. 26197
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 78591
60.0%
6 26197
 
20.0%
. 26197
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130985
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 78591
60.0%
6 26197
 
20.0%
. 26197
 
20.0%

HourCounters Average GridOn Avg. [h]
Real number (ℝ)

High correlation  Skewed 

Distinct7
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean599.95816
Minimum226
Maximum600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:48.350211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum226
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range374
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.2950436
Coefficient of variation (CV)0.0054921222
Kurtosis10492.822
Mean599.95816
Median Absolute Deviation (MAD)0
Skewness-98.944644
Sum15717104
Variance10.857312
MonotonicityNot monotonic
2025-05-15T14:29:48.398994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
600 26190
99.9%
522 2
 
< 0.1%
226 1
 
< 0.1%
265 1
 
< 0.1%
561 1
 
< 0.1%
493 1
 
< 0.1%
515 1
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
226 1
 
< 0.1%
265 1
 
< 0.1%
493 1
 
< 0.1%
515 1
 
< 0.1%
522 2
 
< 0.1%
561 1
 
< 0.1%
600 26190
99.9%
ValueCountFrequency (%)
600 26190
99.9%
561 1
 
< 0.1%
522 2
 
< 0.1%
515 1
 
< 0.1%
493 1
 
< 0.1%
265 1
 
< 0.1%
226 1
 
< 0.1%

HourCounters Average GridOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean598.26163
Minimum0
Maximum600
Zeros70
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:48.453413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.585153
Coefficient of variation (CV)0.052794883
Kurtosis345.02856
Mean598.26163
Median Absolute Deviation (MAD)0
Skewness-18.543091
Sum15672660
Variance997.62188
MonotonicityNot monotonic
2025-05-15T14:29:48.507550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
600 26110
99.6%
0 70
 
0.3%
541 2
 
< 0.1%
265 2
 
< 0.1%
491 1
 
< 0.1%
473 1
 
< 0.1%
269 1
 
< 0.1%
354 1
 
< 0.1%
297 1
 
< 0.1%
464 1
 
< 0.1%
Other values (7) 7
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 70
0.3%
202 1
 
< 0.1%
247 1
 
< 0.1%
265 2
 
< 0.1%
269 1
 
< 0.1%
297 1
 
< 0.1%
301 1
 
< 0.1%
304 1
 
< 0.1%
354 1
 
< 0.1%
464 1
 
< 0.1%
ValueCountFrequency (%)
600 26110
99.6%
592 1
 
< 0.1%
561 1
 
< 0.1%
541 2
 
< 0.1%
493 1
 
< 0.1%
491 1
 
< 0.1%
473 1
 
< 0.1%
464 1
 
< 0.1%
354 1
 
< 0.1%
304 1
 
< 0.1%

HourCounters Average TurbineOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct24
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean597.49864
Minimum0
Maximum600
Zeros98
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:48.566967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.915118
Coefficient of variation (CV)0.063456408
Kurtosis236.53218
Mean597.49864
Median Absolute Deviation (MAD)0
Skewness-15.381774
Sum15652672
Variance1437.5562
MonotonicityNot monotonic
2025-05-15T14:29:48.626548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
600 26075
99.5%
0 98
 
0.4%
541 2
 
< 0.1%
265 2
 
< 0.1%
269 1
 
< 0.1%
491 1
 
< 0.1%
473 1
 
< 0.1%
354 1
 
< 0.1%
297 1
 
< 0.1%
464 1
 
< 0.1%
Other values (14) 14
 
0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 98
0.4%
52 1
 
< 0.1%
60 1
 
< 0.1%
71 1
 
< 0.1%
133 1
 
< 0.1%
172 1
 
< 0.1%
180 1
 
< 0.1%
198 1
 
< 0.1%
202 1
 
< 0.1%
265 2
 
< 0.1%
ValueCountFrequency (%)
600 26075
99.5%
592 1
 
< 0.1%
561 1
 
< 0.1%
541 2
 
< 0.1%
493 1
 
< 0.1%
491 1
 
< 0.1%
473 1
 
< 0.1%
464 1
 
< 0.1%
393 1
 
< 0.1%
354 1
 
< 0.1%

HourCounters Average Run Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct86
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean592.33828
Minimum0
Maximum600
Zeros296
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:48.698560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.966399
Coefficient of variation (CV)0.11136609
Kurtosis74.025506
Mean592.33828
Median Absolute Deviation (MAD)0
Skewness-8.6813615
Sum15517486
Variance4351.5657
MonotonicityNot monotonic
2025-05-15T14:29:48.776756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25816
98.5%
0 296
 
1.1%
485 2
 
< 0.1%
269 1
 
< 0.1%
473 1
 
< 0.1%
260 1
 
< 0.1%
567 1
 
< 0.1%
283 1
 
< 0.1%
514 1
 
< 0.1%
15 1
 
< 0.1%
Other values (76) 76
 
0.3%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 296
1.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
26 1
 
< 0.1%
42 1
 
< 0.1%
44 1
 
< 0.1%
66 1
 
< 0.1%
94 1
 
< 0.1%
ValueCountFrequency (%)
600 25816
98.5%
591 1
 
< 0.1%
590 1
 
< 0.1%
589 1
 
< 0.1%
585 1
 
< 0.1%
567 1
 
< 0.1%
563 1
 
< 0.1%
561 1
 
< 0.1%
548 1
 
< 0.1%
541 1
 
< 0.1%

HourCounters Average Gen1 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct424
Distinct (%)1.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean253.63862
Minimum0
Maximum600
Zeros14777
Zeros (%)56.4%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:48.854398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation293.57756
Coefficient of variation (CV)1.1574639
Kurtosis-1.8867522
Mean253.63862
Median Absolute Deviation (MAD)0
Skewness0.31222142
Sum6644571
Variance86187.781
MonotonicityNot monotonic
2025-05-15T14:29:48.933409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14777
56.4%
600 10701
40.8%
582 6
 
< 0.1%
507 5
 
< 0.1%
135 5
 
< 0.1%
302 5
 
< 0.1%
38 5
 
< 0.1%
532 4
 
< 0.1%
41 4
 
< 0.1%
403 4
 
< 0.1%
Other values (414) 681
 
2.6%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 14777
56.4%
2 2
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
 
< 0.1%
11 1
 
< 0.1%
12 2
 
< 0.1%
ValueCountFrequency (%)
600 10701
40.8%
599 1
 
< 0.1%
597 1
 
< 0.1%
596 1
 
< 0.1%
595 1
 
< 0.1%
594 4
 
< 0.1%
593 3
 
< 0.1%
591 1
 
< 0.1%
590 2
 
< 0.1%
589 1
 
< 0.1%

HourCounters Average Gen2 Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct580
Distinct (%)2.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean240.33431
Minimum0
Maximum600
Zeros14658
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:49.014613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)600

Descriptive statistics

Standard deviation284.73886
Coefficient of variation (CV)1.1847616
Kurtosis-1.7885027
Mean240.33431
Median Absolute Deviation (MAD)0
Skewness0.39973563
Sum6296038
Variance81076.22
MonotonicityNot monotonic
2025-05-15T14:29:49.095772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14658
55.9%
600 9069
34.6%
206 14
 
0.1%
555 13
 
< 0.1%
562 13
 
< 0.1%
551 13
 
< 0.1%
520 13
 
< 0.1%
540 13
 
< 0.1%
522 12
 
< 0.1%
560 12
 
< 0.1%
Other values (570) 2367
 
9.0%
ValueCountFrequency (%)
0 14658
55.9%
3 2
 
< 0.1%
4 3
 
< 0.1%
5 3
 
< 0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 3
 
< 0.1%
10 8
 
< 0.1%
11 4
 
< 0.1%
ValueCountFrequency (%)
600 9069
34.6%
599 2
 
< 0.1%
598 7
 
< 0.1%
597 4
 
< 0.1%
596 4
 
< 0.1%
595 4
 
< 0.1%
594 1
 
< 0.1%
593 1
 
< 0.1%
592 4
 
< 0.1%
591 9
 
< 0.1%

HourCounters Average Yaw Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct252
Distinct (%)1.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean24.175745
Minimum0
Maximum600
Zeros11391
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:49.176092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q335
95-th percentile92
Maximum600
Range600
Interquartile range (IQR)35

Descriptive statistics

Standard deviation35.670269
Coefficient of variation (CV)1.4754569
Kurtosis31.486049
Mean24.175745
Median Absolute Deviation (MAD)14
Skewness3.5842757
Sum633332
Variance1272.3681
MonotonicityNot monotonic
2025-05-15T14:29:49.254956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11391
43.5%
13 561
 
2.1%
14 555
 
2.1%
15 501
 
1.9%
17 494
 
1.9%
12 487
 
1.9%
16 479
 
1.8%
18 409
 
1.6%
19 369
 
1.4%
27 293
 
1.1%
Other values (242) 10658
40.7%
ValueCountFrequency (%)
0 11391
43.5%
1 24
 
0.1%
2 24
 
0.1%
3 27
 
0.1%
4 19
 
0.1%
5 19
 
0.1%
6 15
 
0.1%
7 30
 
0.1%
8 39
 
0.1%
9 73
 
0.3%
ValueCountFrequency (%)
600 9
< 0.1%
501 1
 
< 0.1%
434 1
 
< 0.1%
414 1
 
< 0.1%
393 1
 
< 0.1%
340 1
 
< 0.1%
332 1
 
< 0.1%
308 1
 
< 0.1%
298 1
 
< 0.1%
292 2
 
< 0.1%

HourCounters Average ServiceOn Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct18
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.6940108
Minimum0
Maximum600
Zeros26114
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:49.320079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.178643
Coefficient of variation (CV)18.405221
Kurtosis353.05988
Mean1.6940108
Median Absolute Deviation (MAD)0
Skewness18.755597
Sum44378
Variance972.10777
MonotonicityNot monotonic
2025-05-15T14:29:49.374846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 26114
99.6%
600 67
 
0.3%
109 1
 
< 0.1%
330 1
 
< 0.1%
126 1
 
< 0.1%
334 1
 
< 0.1%
59 1
 
< 0.1%
226 1
 
< 0.1%
522 1
 
< 0.1%
245 1
 
< 0.1%
Other values (8) 8
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 26114
99.6%
7 1
 
< 0.1%
59 1
 
< 0.1%
109 1
 
< 0.1%
126 1
 
< 0.1%
136 1
 
< 0.1%
226 1
 
< 0.1%
245 1
 
< 0.1%
275 1
 
< 0.1%
296 1
 
< 0.1%
ValueCountFrequency (%)
600 67
0.3%
522 1
 
< 0.1%
515 1
 
< 0.1%
397 1
 
< 0.1%
334 1
 
< 0.1%
330 1
 
< 0.1%
303 1
 
< 0.1%
298 1
 
< 0.1%
296 1
 
< 0.1%
275 1
 
< 0.1%

HourCounters Average AmbientOk Avg. [h]
Real number (ℝ)

High correlation 

Distinct67
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean593.24995
Minimum0
Maximum600
Zeros259
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:49.445494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q1600
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.024341
Coefficient of variation (CV)0.1045501
Kurtosis84.648476
Mean593.24995
Median Absolute Deviation (MAD)0
Skewness-9.2693381
Sum15541369
Variance3847.0188
MonotonicityNot monotonic
2025-05-15T14:29:49.523744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 25862
98.7%
0 259
 
1.0%
540 6
 
< 0.1%
541 3
 
< 0.1%
1 3
 
< 0.1%
247 2
 
< 0.1%
265 2
 
< 0.1%
269 1
 
< 0.1%
491 1
 
< 0.1%
283 1
 
< 0.1%
Other values (57) 57
 
0.2%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 259
1.0%
1 3
 
< 0.1%
5 1
 
< 0.1%
9 1
 
< 0.1%
15 1
 
< 0.1%
16 1
 
< 0.1%
27 1
 
< 0.1%
42 1
 
< 0.1%
44 1
 
< 0.1%
66 1
 
< 0.1%
ValueCountFrequency (%)
600 25862
98.7%
592 1
 
< 0.1%
590 1
 
< 0.1%
589 1
 
< 0.1%
586 1
 
< 0.1%
581 1
 
< 0.1%
561 1
 
< 0.1%
547 1
 
< 0.1%
541 3
 
< 0.1%
540 6
 
< 0.1%

HourCounters Average WindOk Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct594
Distinct (%)2.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean460.20243
Minimum0
Maximum600
Zeros5028
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:49.601302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1437
median600
Q3600
95-th percentile600
Maximum600
Range600
Interquartile range (IQR)163

Descriptive statistics

Standard deviation243.72302
Coefficient of variation (CV)0.5295996
Kurtosis-0.31285793
Mean460.20243
Median Absolute Deviation (MAD)0
Skewness-1.264284
Sum12055923
Variance59400.911
MonotonicityNot monotonic
2025-05-15T14:29:49.681907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 18859
72.0%
0 5028
 
19.2%
564 11
 
< 0.1%
592 11
 
< 0.1%
159 10
 
< 0.1%
553 10
 
< 0.1%
586 10
 
< 0.1%
550 10
 
< 0.1%
536 10
 
< 0.1%
551 10
 
< 0.1%
Other values (584) 2228
 
8.5%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 5028
19.2%
1 2
 
< 0.1%
2 4
 
< 0.1%
3 6
 
< 0.1%
4 4
 
< 0.1%
5 5
 
< 0.1%
6 4
 
< 0.1%
7 4
 
< 0.1%
8 6
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
600 18859
72.0%
599 8
 
< 0.1%
598 8
 
< 0.1%
597 4
 
< 0.1%
596 4
 
< 0.1%
595 5
 
< 0.1%
594 8
 
< 0.1%
593 9
 
< 0.1%
592 11
 
< 0.1%
591 7
 
< 0.1%

HourCounters Average AlarmActive Avg. [h]
Real number (ℝ)

High correlation  Zeros 

Distinct81
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.5860213
Minimum0
Maximum600
Zeros25819
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:49.912123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum600
Range600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation65.645786
Coefficient of variation (CV)8.6535198
Kurtosis74.834178
Mean7.5860213
Median Absolute Deviation (MAD)0
Skewness8.7277016
Sum198731
Variance4309.3692
MonotonicityNot monotonic
2025-05-15T14:29:49.990096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25819
98.5%
600 293
 
1.1%
74 2
 
< 0.1%
437 2
 
< 0.1%
36 2
 
< 0.1%
113 2
 
< 0.1%
10 2
 
< 0.1%
584 2
 
< 0.1%
115 1
 
< 0.1%
85 1
 
< 0.1%
Other values (71) 71
 
0.3%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 25819
98.5%
8 1
 
< 0.1%
10 2
 
< 0.1%
15 1
 
< 0.1%
33 1
 
< 0.1%
36 2
 
< 0.1%
51 1
 
< 0.1%
59 1
 
< 0.1%
60 1
 
< 0.1%
62 1
 
< 0.1%
ValueCountFrequency (%)
600 293
1.1%
594 1
 
< 0.1%
591 1
 
< 0.1%
584 2
 
< 0.1%
573 1
 
< 0.1%
558 1
 
< 0.1%
556 1
 
< 0.1%
534 1
 
< 0.1%
522 1
 
< 0.1%
506 1
 
< 0.1%

Total hour counter [h]
Real number (ℝ)

High correlation  Uniform 

Distinct4368
Distinct (%)16.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.6935328 × 108
Minimum1.614888 × 108
Maximum1.772136 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:50.067310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.614888 × 108
5-th percentile1.6227648 × 108
Q11.6542 × 108
median1.693548 × 108
Q31.73286 × 108
95-th percentile1.764288 × 108
Maximum1.772136 × 108
Range15724800
Interquartile range (IQR)7866000

Descriptive statistics

Standard deviation4539800.5
Coefficient of variation (CV)0.026806688
Kurtosis-1.1999847
Mean1.6935328 × 108
Median Absolute Deviation (MAD)3931200
Skewness-0.0007610736
Sum4.4365478 × 1012
Variance2.0609788 × 1013
MonotonicityIncreasing
2025-05-15T14:29:50.149149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171986400 6
 
< 0.1%
171982800 6
 
< 0.1%
171979200 6
 
< 0.1%
171975600 6
 
< 0.1%
171972000 6
 
< 0.1%
171968400 6
 
< 0.1%
171964800 6
 
< 0.1%
169354800 6
 
< 0.1%
171957600 6
 
< 0.1%
171954000 6
 
< 0.1%
Other values (4358) 26137
99.7%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
161488800 2
 
< 0.1%
161492400 6
< 0.1%
161496000 6
< 0.1%
161499600 6
< 0.1%
161503200 6
< 0.1%
161506800 6
< 0.1%
161510400 6
< 0.1%
161514000 6
< 0.1%
161517600 6
< 0.1%
161521200 6
< 0.1%
ValueCountFrequency (%)
177213600 4
< 0.1%
177210000 6
< 0.1%
177206400 6
< 0.1%
177202800 6
< 0.1%
177199200 6
< 0.1%
177195600 6
< 0.1%
177192000 6
< 0.1%
177188400 6
< 0.1%
177184800 6
< 0.1%
177181200 6
< 0.1%

Grid on hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26197
Distinct (%)100.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.4665305 × 108
Minimum1.3879258 × 108
Maximum1.5451406 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:50.233667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.3879258 × 108
5-th percentile1.3957846 × 108
Q11.4272198 × 108
median1.466519 × 108
Q31.5058474 × 108
95-th percentile1.5372818 × 108
Maximum1.5451406 × 108
Range15721488
Interquartile range (IQR)7862752

Descriptive statistics

Standard deviation4539241.9
Coefficient of variation (CV)0.030952251
Kurtosis-1.2004503
Mean1.4665305 × 108
Median Absolute Deviation (MAD)3931632
Skewness0.00017599964
Sum3.8418698 × 1012
Variance2.0604717 × 1013
MonotonicityStrictly increasing
2025-05-15T14:29:50.314952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149279312 1
 
< 0.1%
149278720 1
 
< 0.1%
149278112 1
 
< 0.1%
149277520 1
 
< 0.1%
149276912 1
 
< 0.1%
149276320 1
 
< 0.1%
149275712 1
 
< 0.1%
149275104 1
 
< 0.1%
149274512 1
 
< 0.1%
149273920 1
 
< 0.1%
Other values (26187) 26187
99.9%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
138792576 1
< 0.1%
138793184 1
< 0.1%
138793776 1
< 0.1%
138794384 1
< 0.1%
138794976 1
< 0.1%
138795584 1
< 0.1%
138796176 1
< 0.1%
138796784 1
< 0.1%
138797376 1
< 0.1%
138797984 1
< 0.1%
ValueCountFrequency (%)
154514064 1
< 0.1%
154513456 1
< 0.1%
154512864 1
< 0.1%
154512256 1
< 0.1%
154511664 1
< 0.1%
154511056 1
< 0.1%
154510464 1
< 0.1%
154509856 1
< 0.1%
154509264 1
< 0.1%
154508656 1
< 0.1%

Grid ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26127
Distinct (%)99.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.4421054 × 108
Minimum1.3637574 × 108
Maximum1.5205277 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:50.397629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.3637574 × 108
5-th percentile1.3716163 × 108
Q11.4029584 × 108
median1.4420867 × 108
Q31.4813362 × 108
95-th percentile1.5126689 × 108
Maximum1.5205277 × 108
Range15677024
Interquartile range (IQR)7837776

Descriptive statistics

Standard deviation4526519.4
Coefficient of variation (CV)0.031388271
Kurtosis-1.2011188
Mean1.4421054 × 108
Median Absolute Deviation (MAD)3919296
Skewness0.0013334141
Sum3.7778834 × 1012
Variance2.0489378 × 1013
MonotonicityIncreasing
2025-05-15T14:29:50.480903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140470384 21
 
0.1%
149769472 17
 
0.1%
137541440 15
 
0.1%
145034272 13
 
< 0.1%
141936832 9
 
< 0.1%
146833280 1
 
< 0.1%
146832672 1
 
< 0.1%
146832064 1
 
< 0.1%
146831472 1
 
< 0.1%
146830880 1
 
< 0.1%
Other values (26117) 26117
99.7%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
136375744 1
< 0.1%
136376352 1
< 0.1%
136376944 1
< 0.1%
136377536 1
< 0.1%
136378144 1
< 0.1%
136378752 1
< 0.1%
136379344 1
< 0.1%
136379936 1
< 0.1%
136380544 1
< 0.1%
136381152 1
< 0.1%
ValueCountFrequency (%)
152052768 1
< 0.1%
152052176 1
< 0.1%
152051568 1
< 0.1%
152050976 1
< 0.1%
152050368 1
< 0.1%
152049776 1
< 0.1%
152049168 1
< 0.1%
152048576 1
< 0.1%
152047968 1
< 0.1%
152047376 1
< 0.1%

Turbine ok hours [h]
Real number (ℝ)

High correlation  Uniform 

Distinct26099
Distinct (%)99.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.442087 × 108
Minimum1.3637888 × 108
Maximum1.5203592 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:50.564011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.3637888 × 108
5-th percentile1.3716476 × 108
Q11.4029899 × 108
median1.4421182 × 108
Q31.4811741 × 108
95-th percentile1.5125004 × 108
Maximum1.5203592 × 108
Range15657040
Interquartile range (IQR)7818416

Descriptive statistics

Standard deviation4520053.9
Coefficient of variation (CV)0.031343836
Kurtosis-1.2015598
Mean1.442087 × 108
Median Absolute Deviation (MAD)3909232
Skewness-0.0011450185
Sum3.7778354 × 1012
Variance2.0430887 × 1013
MonotonicityIncreasing
2025-05-15T14:29:50.645415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140473520 21
 
0.1%
148112480 18
 
0.1%
149752688 17
 
0.1%
137544576 15
 
0.1%
145037408 13
 
< 0.1%
148112352 11
 
< 0.1%
141939984 9
 
< 0.1%
148112112 2
 
< 0.1%
146820208 1
 
< 0.1%
146820816 1
 
< 0.1%
Other values (26089) 26089
99.5%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
136378880 1
< 0.1%
136379488 1
< 0.1%
136380080 1
< 0.1%
136380688 1
< 0.1%
136381280 1
< 0.1%
136381888 1
< 0.1%
136382480 1
< 0.1%
136383088 1
< 0.1%
136383680 1
< 0.1%
136384288 1
< 0.1%
ValueCountFrequency (%)
152035920 1
< 0.1%
152035328 1
< 0.1%
152034720 1
< 0.1%
152034128 1
< 0.1%
152033536 1
< 0.1%
152032928 1
< 0.1%
152032320 1
< 0.1%
152031728 1
< 0.1%
152031136 1
< 0.1%
152030528 1
< 0.1%

Run hours [h]
Real number (ℝ)

High correlation 

Distinct25901
Distinct (%)98.9%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.4018083 × 108
Minimum1.3240819 × 108
Maximum1.4793006 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:50.728127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.3240819 × 108
5-th percentile1.3319407 × 108
Q11.3631459 × 108
median1.4016168 × 108
Q31.4405646 × 108
95-th percentile1.4714595 × 108
Maximum1.4793006 × 108
Range15521872
Interquartile range (IQR)7741872

Descriptive statistics

Standard deviation4474420
Coefficient of variation (CV)0.031918915
Kurtosis-1.1980136
Mean1.4018083 × 108
Median Absolute Deviation (MAD)3881248
Skewness-0.0033823879
Sum3.6723172 × 1012
Variance2.0020434 × 1013
MonotonicityIncreasing
2025-05-15T14:29:50.811607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139695184 69
 
0.3%
144051536 33
 
0.1%
145787264 25
 
0.1%
136489120 22
 
0.1%
145783840 21
 
0.1%
139697360 20
 
0.1%
145689008 17
 
0.1%
145785424 15
 
0.1%
133573872 15
 
0.1%
140985072 13
 
< 0.1%
Other values (25891) 25947
99.0%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
132408192 1
< 0.1%
132408792 1
< 0.1%
132409392 1
< 0.1%
132409992 1
< 0.1%
132410592 1
< 0.1%
132411192 1
< 0.1%
132411792 1
< 0.1%
132412392 1
< 0.1%
132412992 1
< 0.1%
132413592 1
< 0.1%
ValueCountFrequency (%)
147930064 1
< 0.1%
147929456 1
< 0.1%
147928864 1
< 0.1%
147928256 1
< 0.1%
147927664 1
< 0.1%
147927056 1
< 0.1%
147926464 1
< 0.1%
147925856 1
< 0.1%
147925264 1
< 0.1%
147924656 1
< 0.1%

Generator 1 hours [h]
Real number (ℝ)

High correlation 

Distinct11420
Distinct (%)43.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60314625
Minimum56803112
Maximum63448840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:50.894808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum56803112
5-th percentile57288020
Q158536528
median60467252
Q361925060
95-th percentile63262584
Maximum63448840
Range6645728
Interquartile range (IQR)3388532

Descriptive statistics

Standard deviation1922713
Coefficient of variation (CV)0.031878056
Kurtosis-1.1815362
Mean60314625
Median Absolute Deviation (MAD)1653280
Skewness-0.18607231
Sum1.5800622 × 1012
Variance3.6968252 × 1012
MonotonicityIncreasing
2025-05-15T14:29:50.974581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61028476 715
 
2.7%
61133672 682
 
2.6%
61312856 664
 
2.5%
57485960 595
 
2.3%
63334384 461
 
1.8%
57288020 445
 
1.7%
61710944 390
 
1.5%
58054016 370
 
1.4%
61818592 341
 
1.3%
58291144 311
 
1.2%
Other values (11410) 21223
81.0%
ValueCountFrequency (%)
56803112 58
0.2%
56803332 1
 
< 0.1%
56803928 1
 
< 0.1%
56804528 1
 
< 0.1%
56805128 1
 
< 0.1%
56805728 1
 
< 0.1%
56806328 1
 
< 0.1%
56806928 1
 
< 0.1%
56807528 1
 
< 0.1%
56808128 1
 
< 0.1%
ValueCountFrequency (%)
63448840 87
0.3%
63448664 1
 
< 0.1%
63448064 1
 
< 0.1%
63447460 1
 
< 0.1%
63446860 1
 
< 0.1%
63446260 1
 
< 0.1%
63445664 1
 
< 0.1%
63445060 1
 
< 0.1%
63444464 1
 
< 0.1%
63443860 1
 
< 0.1%

Generator 2 hours [h]
Real number (ℝ)

High correlation 

Distinct11537
Distinct (%)44.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean52127809
Minimum49101016
Maximum55397624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:51.055583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum49101016
5-th percentile49372556
Q150597600
median52067096
Q353655964
95-th percentile54969624
Maximum55397624
Range6296608
Interquartile range (IQR)3058364

Descriptive statistics

Standard deviation1811932.5
Coefficient of variation (CV)0.034759421
Kurtosis-1.2131959
Mean52127809
Median Absolute Deviation (MAD)1537388
Skewness0.098453783
Sum1.3655922 × 1012
Variance3.2830993 × 1012
MonotonicityIncreasing
2025-05-15T14:29:51.135370image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52204512 420
 
1.6%
50930216 342
 
1.3%
54739248 336
 
1.3%
50017944 334
 
1.3%
51026552 326
 
1.2%
51818528 284
 
1.1%
54512112 283
 
1.1%
50304744 255
 
1.0%
54969624 221
 
0.8%
49150568 211
 
0.8%
Other values (11527) 23185
88.5%
ValueCountFrequency (%)
49101016 1
< 0.1%
49101616 1
< 0.1%
49102216 1
< 0.1%
49102816 1
< 0.1%
49103420 1
< 0.1%
49104016 1
< 0.1%
49104616 1
< 0.1%
49105216 1
< 0.1%
49105816 1
< 0.1%
49106416 1
< 0.1%
ValueCountFrequency (%)
55397624 1
< 0.1%
55397024 1
< 0.1%
55396424 1
< 0.1%
55395824 1
< 0.1%
55395224 1
< 0.1%
55394624 1
< 0.1%
55394024 1
< 0.1%
55393424 1
< 0.1%
55392824 1
< 0.1%
55392224 1
< 0.1%

Yaw hours [h]
Real number (ℝ)

High correlation 

Distinct14816
Distinct (%)56.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6040444.6
Minimum5729342
Maximum6366200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:51.214276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5729342
5-th percentile5757995
Q15880294
median6053039
Q36184916
95-th percentile6334380.4
Maximum6366200
Range636858
Interquartile range (IQR)304622

Descriptive statistics

Standard deviation185076.9
Coefficient of variation (CV)0.030639615
Kurtosis-1.1430794
Mean6040444.6
Median Absolute Deviation (MAD)154511
Skewness0.0077080833
Sum1.5824153 × 1011
Variance3.4253459 × 1010
MonotonicityIncreasing
2025-05-15T14:29:51.295671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5767206 109
 
0.4%
6085667 78
 
0.3%
6214820 70
 
0.3%
5761351 55
 
0.2%
5787574 52
 
0.2%
6083715 52
 
0.2%
5781252 47
 
0.2%
6012558 46
 
0.2%
6084670 42
 
0.2%
6164491 41
 
0.2%
Other values (14806) 25605
97.7%
ValueCountFrequency (%)
5729342 8
< 0.1%
5729365 15
0.1%
5729387 9
< 0.1%
5729407 5
 
< 0.1%
5729426 1
 
< 0.1%
5729458 4
 
< 0.1%
5729474 3
 
< 0.1%
5729494 13
< 0.1%
5729508 1
 
< 0.1%
5729520 1
 
< 0.1%
ValueCountFrequency (%)
6366200 5
 
< 0.1%
6366184 5
 
< 0.1%
6366171 4
 
< 0.1%
6366157 4
 
< 0.1%
6366138 1
 
< 0.1%
6366120 3
 
< 0.1%
6366105 14
0.1%
6366076 1
 
< 0.1%
6366048 1
 
< 0.1%
6366034 4
 
< 0.1%

Service hours [h]
Real number (ℝ)

High correlation 

Distinct84
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1739458.9
Minimum1713794
Maximum1758186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:51.528440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1713794
5-th percentile1713794
Q11723095
median1740192
Q31748072
95-th percentile1758186
Maximum1758186
Range44392
Interquartile range (IQR)24977

Descriptive statistics

Standard deviation13202.836
Coefficient of variation (CV)0.0075901974
Kurtosis-0.84337138
Mean1739458.9
Median Absolute Deviation (MAD)7880
Skewness-0.4197769
Sum4.5568604 × 1010
Variance1.7431489 × 108
MonotonicityIncreasing
2025-05-15T14:29:51.607066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1740192 5160
19.7%
1747797 5152
19.7%
1758186 3806
14.5%
1723095 3722
14.2%
1748072 2735
10.4%
1734953 2444
9.3%
1713794 1943
 
7.4%
1722634 1159
 
4.4%
1715703 1
 
< 0.1%
1715103 1
 
< 0.1%
Other values (74) 74
 
0.3%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
1713794 1943
7.4%
1713903 1
 
< 0.1%
1714504 1
 
< 0.1%
1715103 1
 
< 0.1%
1715703 1
 
< 0.1%
1716304 1
 
< 0.1%
1716904 1
 
< 0.1%
1717503 1
 
< 0.1%
1718103 1
 
< 0.1%
1718703 1
 
< 0.1%
ValueCountFrequency (%)
1758186 3806
14.5%
1757887 1
 
< 0.1%
1757286 1
 
< 0.1%
1756687 1
 
< 0.1%
1756085 1
 
< 0.1%
1755485 1
 
< 0.1%
1754885 1
 
< 0.1%
1754284 1
 
< 0.1%
1753684 1
 
< 0.1%
1753084 1
 
< 0.1%

Ambient ok hours [h]
Real number (ℝ)

High correlation 

Distinct25935
Distinct (%)99.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.4233103 × 108
Minimum1.3455163 × 108
Maximum1.5009739 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:51.682929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.3455163 × 108
5-th percentile1.3533751 × 108
Q11.3845872 × 108
median1.4230699 × 108
Q31.4622173 × 108
95-th percentile1.4931313 × 108
Maximum1.5009739 × 108
Range15545760
Interquartile range (IQR)7763008

Descriptive statistics

Standard deviation4482033.7
Coefficient of variation (CV)0.031490206
Kurtosis-1.1974537
Mean1.4233103 × 108
Median Absolute Deviation (MAD)3881872
Skewness-0.00084646218
Sum3.7286461 × 1012
Variance2.0088626 × 1013
MonotonicityIncreasing
2025-05-15T14:29:51.768360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
141840464 69
 
0.3%
147954384 25
 
0.1%
138633264 21
 
0.1%
147950832 21
 
0.1%
141842672 20
 
0.1%
147856016 17
 
0.1%
135717328 15
 
0.1%
147952544 15
 
0.1%
143130400 13
 
< 0.1%
140098976 9
 
< 0.1%
Other values (25925) 25972
99.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
134551632 1
< 0.1%
134552224 1
< 0.1%
134552832 1
< 0.1%
134553424 1
< 0.1%
134554032 1
< 0.1%
134554624 1
< 0.1%
134555232 1
< 0.1%
134555824 1
< 0.1%
134556432 1
< 0.1%
134557024 1
< 0.1%
ValueCountFrequency (%)
150097392 1
< 0.1%
150096784 1
< 0.1%
150096192 1
< 0.1%
150095584 1
< 0.1%
150094992 1
< 0.1%
150094384 1
< 0.1%
150093792 1
< 0.1%
150093184 1
< 0.1%
150092592 1
< 0.1%
150091984 1
< 0.1%

Wind ok hours [h]
Real number (ℝ)

High correlation 

Distinct21155
Distinct (%)80.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.0657788 × 108
Minimum1.0046027 × 108
Maximum1.1251756 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:51.854738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.0046027 × 108
5-th percentile1.0119751 × 108
Q11.0347074 × 108
median1.0667612 × 108
Q31.0949636 × 108
95-th percentile1.1197366 × 108
Maximum1.1251756 × 108
Range12057288
Interquartile range (IQR)6025616

Descriptive statistics

Standard deviation3470351.9
Coefficient of variation (CV)0.032561653
Kurtosis-1.199822
Mean1.0657788 × 108
Median Absolute Deviation (MAD)3000736
Skewness-0.061536357
Sum2.7920206 × 1012
Variance1.2043342 × 1013
MonotonicityIncreasing
2025-05-15T14:29:51.937728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109150264 135
 
0.5%
109150016 116
 
0.4%
101421856 115
 
0.4%
107505720 107
 
0.4%
109929520 98
 
0.4%
107825192 97
 
0.4%
112143080 93
 
0.4%
107549384 92
 
0.4%
107529432 85
 
0.3%
109331920 78
 
0.3%
Other values (21145) 25181
96.1%
ValueCountFrequency (%)
100460272 1
< 0.1%
100460872 1
< 0.1%
100461472 1
< 0.1%
100462072 1
< 0.1%
100462672 1
< 0.1%
100463272 1
< 0.1%
100463872 1
< 0.1%
100464472 1
< 0.1%
100465072 1
< 0.1%
100465672 1
< 0.1%
ValueCountFrequency (%)
112517560 1
< 0.1%
112516960 1
< 0.1%
112516360 1
< 0.1%
112515760 1
< 0.1%
112515160 1
< 0.1%
112514560 1
< 0.1%
112513960 1
< 0.1%
112513360 1
< 0.1%
112512760 1
< 0.1%
112512160 1
< 0.1%

Production LatestAverage Active Power Gen 0 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct1685
Distinct (%)6.4%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-357.58262
Minimum-2816
Maximum0
Zeros20383
Zeros (%)77.8%
Negative5814
Negative (%)22.2%
Memory size1.4 MiB
2025-05-15T14:29:52.014575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2816
5-th percentile-2050
Q10
median0
Q30
95-th percentile0
Maximum0
Range2816
Interquartile range (IQR)0

Descriptive statistics

Standard deviation740.80054
Coefficient of variation (CV)-2.0716905
Kurtosis1.1206527
Mean-357.58262
Median Absolute Deviation (MAD)0
Skewness-1.7206187
Sum-9367592
Variance548785.44
MonotonicityNot monotonic
2025-05-15T14:29:52.090401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20383
77.8%
-1 69
 
0.3%
-1971 25
 
0.1%
-1953 25
 
0.1%
-1941 22
 
0.1%
-1961 22
 
0.1%
-1946 21
 
0.1%
-2001 21
 
0.1%
-1993 20
 
0.1%
-1986 20
 
0.1%
Other values (1675) 5569
 
21.2%
ValueCountFrequency (%)
-2816 1
< 0.1%
-2788 1
< 0.1%
-2755 1
< 0.1%
-2708 1
< 0.1%
-2703 1
< 0.1%
-2696 1
< 0.1%
-2684 1
< 0.1%
-2682 1
< 0.1%
-2672 1
< 0.1%
-2667 1
< 0.1%
ValueCountFrequency (%)
0 20383
77.8%
-1 69
 
0.3%
-3 1
 
< 0.1%
-5 1
 
< 0.1%
-6 2
 
< 0.1%
-11 2
 
< 0.1%
-12 1
 
< 0.1%
-16 1
 
< 0.1%
-18 1
 
< 0.1%
-20 2
 
< 0.1%

Production LatestAverage Active Power Gen 1 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct10930
Distinct (%)41.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean121815.62
Minimum-150
Maximum508381
Zeros14742
Zeros (%)56.2%
Negative5
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:29:52.168418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-150
5-th percentile0
Q10
median0
Q3227781
95-th percentile492647.2
Maximum508381
Range508531
Interquartile range (IQR)227781

Descriptive statistics

Standard deviation168054.08
Coefficient of variation (CV)1.3795774
Kurtosis-0.27388613
Mean121815.62
Median Absolute Deviation (MAD)0
Skewness1.0799698
Sum3.1912038 × 109
Variance2.8242173 × 1010
MonotonicityNot monotonic
2025-05-15T14:29:52.250365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14742
56.2%
1 34
 
0.1%
500044 11
 
< 0.1%
500057 11
 
< 0.1%
500055 11
 
< 0.1%
500053 11
 
< 0.1%
500061 10
 
< 0.1%
500033 10
 
< 0.1%
500040 9
 
< 0.1%
500035 8
 
< 0.1%
Other values (10920) 11340
43.3%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
-150 1
 
< 0.1%
-128 1
 
< 0.1%
-70 1
 
< 0.1%
-50 1
 
< 0.1%
-40 1
 
< 0.1%
0 14742
56.2%
1 34
 
0.1%
105 1
 
< 0.1%
153 1
 
< 0.1%
293 1
 
< 0.1%
ValueCountFrequency (%)
508381 1
< 0.1%
508374 1
< 0.1%
508366 1
< 0.1%
508282 1
< 0.1%
508149 1
< 0.1%
508125 1
< 0.1%
508053 1
< 0.1%
507864 1
< 0.1%
507709 1
< 0.1%
506005 1
< 0.1%

Production LatestAverage Active Power Gen 2 Avg. [W]
Real number (ℝ)

High correlation  Zeros 

Distinct10832
Distinct (%)41.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean16938.972
Minimum-1187
Maximum142242
Zeros14594
Zeros (%)55.7%
Negative210
Negative (%)0.8%
Memory size1.4 MiB
2025-05-15T14:29:52.328981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1187
5-th percentile0
Q10
median0
Q327441
95-th percentile79375.2
Maximum142242
Range143429
Interquartile range (IQR)27441

Descriptive statistics

Standard deviation27514.948
Coefficient of variation (CV)1.6243577
Kurtosis2.3530724
Mean16938.972
Median Absolute Deviation (MAD)0
Skewness1.7424178
Sum4.4375024 × 108
Variance7.5707238 × 108
MonotonicityNot monotonic
2025-05-15T14:29:52.408854image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14594
55.7%
1 59
 
0.2%
-1 11
 
< 0.1%
8995 4
 
< 0.1%
16977 4
 
< 0.1%
3120 3
 
< 0.1%
38383 3
 
< 0.1%
-50 3
 
< 0.1%
78169 3
 
< 0.1%
3168 3
 
< 0.1%
Other values (10822) 11510
43.9%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
-1187 1
< 0.1%
-1155 1
< 0.1%
-1095 1
< 0.1%
-1055 1
< 0.1%
-902 1
< 0.1%
-894 1
< 0.1%
-888 1
< 0.1%
-830 1
< 0.1%
-820 1
< 0.1%
-682 1
< 0.1%
ValueCountFrequency (%)
142242 1
< 0.1%
141004 1
< 0.1%
140617 1
< 0.1%
138888 1
< 0.1%
137613 1
< 0.1%
137546 1
< 0.1%
137478 1
< 0.1%
137278 1
< 0.1%
137110 1
< 0.1%
137078 1
< 0.1%

Production LatestAverage Total Active Power Avg. [W]
Real number (ℝ)

High correlation 

Distinct21702
Distinct (%)82.8%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean138397.01
Minimum-2877
Maximum508381
Zeros4
Zeros (%)< 0.1%
Negative4420
Negative (%)16.9%
Memory size1.4 MiB
2025-05-15T14:29:52.492388image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2877
5-th percentile-2056
Q113027
median68102
Q3227830
95-th percentile492647.2
Maximum508381
Range511258
Interquartile range (IQR)214803

Descriptive statistics

Standard deviation158307.77
Coefficient of variation (CV)1.143867
Kurtosis-0.14702504
Mean138397.01
Median Absolute Deviation (MAD)69869
Skewness1.0824467
Sum3.6255864 × 109
Variance2.5061349 × 1010
MonotonicityNot monotonic
2025-05-15T14:29:52.571644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1953 27
 
0.1%
-1971 24
 
0.1%
-1961 21
 
0.1%
-2001 20
 
0.1%
-1946 20
 
0.1%
-1941 20
 
0.1%
-1986 20
 
0.1%
-1993 19
 
0.1%
-1988 19
 
0.1%
-2028 19
 
0.1%
Other values (21692) 25988
99.2%
ValueCountFrequency (%)
-2877 1
< 0.1%
-2871 1
< 0.1%
-2861 1
< 0.1%
-2816 1
< 0.1%
-2810 1
< 0.1%
-2788 1
< 0.1%
-2755 1
< 0.1%
-2740 1
< 0.1%
-2732 1
< 0.1%
-2708 1
< 0.1%
ValueCountFrequency (%)
508381 1
< 0.1%
508374 1
< 0.1%
508366 1
< 0.1%
508282 1
< 0.1%
508149 1
< 0.1%
508125 1
< 0.1%
508053 1
< 0.1%
507864 1
< 0.1%
507709 1
< 0.1%
506005 1
< 0.1%

Production LatestAverage Reactive Power Gen 0 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct1875
Distinct (%)7.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-305.19857
Minimum-3368
Maximum599
Zeros20415
Zeros (%)77.9%
Negative4919
Negative (%)18.8%
Memory size1.4 MiB
2025-05-15T14:29:52.650276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3368
5-th percentile-1914
Q10
median0
Q30
95-th percentile0
Maximum599
Range3967
Interquartile range (IQR)0

Descriptive statistics

Standard deviation689.11707
Coefficient of variation (CV)-2.2579302
Kurtosis1.8288448
Mean-305.19857
Median Absolute Deviation (MAD)0
Skewness-1.8888668
Sum-7995287
Variance474882.34
MonotonicityNot monotonic
2025-05-15T14:29:52.730369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20415
77.9%
-1 43
 
0.2%
1 34
 
0.1%
-1826 26
 
0.1%
-1818 22
 
0.1%
-1845 22
 
0.1%
-1820 19
 
0.1%
-1786 19
 
0.1%
-1838 19
 
0.1%
-1900 18
 
0.1%
Other values (1865) 5560
 
21.2%
ValueCountFrequency (%)
-3368 1
< 0.1%
-3364 1
< 0.1%
-3293 1
< 0.1%
-3251 1
< 0.1%
-3214 1
< 0.1%
-3205 1
< 0.1%
-3183 1
< 0.1%
-3089 1
< 0.1%
-3059 1
< 0.1%
-3051 1
< 0.1%
ValueCountFrequency (%)
599 1
< 0.1%
555 1
< 0.1%
538 1
< 0.1%
512 1
< 0.1%
466 1
< 0.1%
436 1
< 0.1%
435 1
< 0.1%
419 1
< 0.1%
413 1
< 0.1%
410 1
< 0.1%

Production LatestAverage Reactive Power Gen 1 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct89
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.73019811
Minimum-75
Maximum70
Zeros19295
Zeros (%)73.6%
Negative334
Negative (%)1.3%
Memory size1.4 MiB
2025-05-15T14:29:52.807847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-75
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum70
Range145
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.739591
Coefficient of variation (CV)5.1213376
Kurtosis105.55374
Mean0.73019811
Median Absolute Deviation (MAD)0
Skewness6.0578016
Sum19129
Variance13.984541
MonotonicityNot monotonic
2025-05-15T14:29:52.885015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19295
73.6%
1 3304
 
12.6%
2 1591
 
6.1%
3 931
 
3.6%
4 246
 
0.9%
-1 183
 
0.7%
5 94
 
0.4%
-2 30
 
0.1%
6 26
 
0.1%
26 22
 
0.1%
Other values (79) 475
 
1.8%
ValueCountFrequency (%)
-75 1
< 0.1%
-68 1
< 0.1%
-66 1
< 0.1%
-62 1
< 0.1%
-61 1
< 0.1%
-49 1
< 0.1%
-48 1
< 0.1%
-44 1
< 0.1%
-41 1
< 0.1%
-40 1
< 0.1%
ValueCountFrequency (%)
70 1
 
< 0.1%
66 1
 
< 0.1%
64 1
 
< 0.1%
63 1
 
< 0.1%
61 1
 
< 0.1%
56 1
 
< 0.1%
55 2
< 0.1%
54 4
< 0.1%
53 3
< 0.1%
51 3
< 0.1%

Production LatestAverage Reactive Power Gen 2 Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct319
Distinct (%)1.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.6064053
Minimum-874
Maximum263
Zeros23915
Zeros (%)91.3%
Negative567
Negative (%)2.2%
Memory size1.4 MiB
2025-05-15T14:29:53.115807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-874
5-th percentile0
Q10
median0
Q30
95-th percentile14
Maximum263
Range1137
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.376844
Coefficient of variation (CV)9.3526681
Kurtosis302.29558
Mean2.6064053
Median Absolute Deviation (MAD)0
Skewness-7.5310148
Sum68280
Variance594.23052
MonotonicityNot monotonic
2025-05-15T14:29:53.194629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23915
91.3%
1 195
 
0.7%
-1 165
 
0.6%
21 26
 
0.1%
31 25
 
0.1%
28 24
 
0.1%
20 22
 
0.1%
35 22
 
0.1%
10 22
 
0.1%
40 22
 
0.1%
Other values (309) 1759
 
6.7%
ValueCountFrequency (%)
-874 1
< 0.1%
-799 1
< 0.1%
-743 1
< 0.1%
-728 1
< 0.1%
-653 1
< 0.1%
-646 1
< 0.1%
-601 1
< 0.1%
-588 1
< 0.1%
-561 1
< 0.1%
-550 1
< 0.1%
ValueCountFrequency (%)
263 1
< 0.1%
250 1
< 0.1%
242 1
< 0.1%
239 1
< 0.1%
230 1
< 0.1%
229 1
< 0.1%
226 1
< 0.1%
222 2
< 0.1%
220 1
< 0.1%
217 1
< 0.1%

Production LatestAverage Total Reactive Power Avg. [var]
Real number (ℝ)

High correlation  Zeros 

Distinct1922
Distinct (%)7.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-301.86197
Minimum-3368
Maximum629
Zeros13133
Zeros (%)50.1%
Negative5264
Negative (%)20.1%
Memory size1.4 MiB
2025-05-15T14:29:53.271574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-3368
5-th percentile-1914
Q10
median0
Q31
95-th percentile16
Maximum629
Range3997
Interquartile range (IQR)1

Descriptive statistics

Standard deviation689.69049
Coefficient of variation (CV)-2.2847876
Kurtosis1.8546811
Mean-301.86197
Median Absolute Deviation (MAD)0
Skewness-1.8945008
Sum-7907878
Variance475672.97
MonotonicityNot monotonic
2025-05-15T14:29:53.351965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13133
50.1%
1 3418
 
13.0%
2 1592
 
6.1%
3 933
 
3.6%
-1 316
 
1.2%
4 250
 
1.0%
5 105
 
0.4%
6 37
 
0.1%
21 34
 
0.1%
25 33
 
0.1%
Other values (1912) 6346
24.2%
ValueCountFrequency (%)
-3368 1
< 0.1%
-3364 1
< 0.1%
-3293 1
< 0.1%
-3251 1
< 0.1%
-3213 1
< 0.1%
-3205 1
< 0.1%
-3183 1
< 0.1%
-3089 1
< 0.1%
-3059 1
< 0.1%
-3051 1
< 0.1%
ValueCountFrequency (%)
629 1
< 0.1%
609 1
< 0.1%
551 1
< 0.1%
537 1
< 0.1%
521 1
< 0.1%
519 1
< 0.1%
505 2
< 0.1%
498 1
< 0.1%
484 1
< 0.1%
478 1
< 0.1%

Active power generator 0, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct5101
Distinct (%)19.5%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-111510.38
Minimum-116528
Maximum-107149
Zeros0
Zeros (%)0.0%
Negative26197
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-15T14:29:53.433324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-116528
5-th percentile-115892
Q1-114175
median-111145
Q3-109400
95-th percentile-107242.6
Maximum-107149
Range9379
Interquartile range (IQR)4775

Descriptive statistics

Standard deviation2776.897
Coefficient of variation (CV)-0.024902588
Kurtosis-1.1967016
Mean-111510.38
Median Absolute Deviation (MAD)2177
Skewness-0.24616354
Sum-2.9212373 × 109
Variance7711157.1
MonotonicityDecreasing
2025-05-15T14:29:53.510754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-107152 852
 
3.3%
-108691 594
 
2.3%
-109581 517
 
2.0%
-111170 478
 
1.8%
-111179 465
 
1.8%
-109768 404
 
1.5%
-109400 403
 
1.5%
-115748 403
 
1.5%
-112943 380
 
1.4%
-112502 352
 
1.3%
Other values (5091) 21349
81.5%
ValueCountFrequency (%)
-116528 37
0.1%
-116527 1
 
< 0.1%
-116524 1
 
< 0.1%
-116522 1
 
< 0.1%
-116520 1
 
< 0.1%
-116517 1
 
< 0.1%
-116515 1
 
< 0.1%
-116513 1
 
< 0.1%
-116510 1
 
< 0.1%
-116508 1
 
< 0.1%
ValueCountFrequency (%)
-107149 94
 
0.4%
-107151 1
 
< 0.1%
-107152 852
3.3%
-107153 1
 
< 0.1%
-107154 1
 
< 0.1%
-107155 5
 
< 0.1%
-107157 1
 
< 0.1%
-107158 1
 
< 0.1%
-107160 1
 
< 0.1%
-107161 1
 
< 0.1%

Active power generator 1, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11398
Distinct (%)43.5%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean31051748
Minimum29311464
Maximum32502864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:53.587772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29311464
5-th percentile29546346
Q130121056
median31139596
Q331897298
95-th percentile32447728
Maximum32502864
Range3191400
Interquartile range (IQR)1776242

Descriptive statistics

Standard deviation964124.6
Coefficient of variation (CV)0.031048963
Kurtosis-1.2736657
Mean31051748
Median Absolute Deviation (MAD)848832
Skewness-0.24797053
Sum8.1346265 × 1011
Variance9.2953624 × 1011
MonotonicityIncreasing
2025-05-15T14:29:53.670107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31472194 715
 
2.7%
31531800 682
 
2.6%
31633080 664
 
2.5%
29614548 595
 
2.3%
32473728 461
 
1.8%
29546346 445
 
1.7%
31786488 390
 
1.5%
29894200 370
 
1.4%
31846350 341
 
1.3%
30021840 311
 
1.2%
Other values (11388) 21223
81.0%
ValueCountFrequency (%)
29311464 58
0.2%
29311512 1
 
< 0.1%
29311652 1
 
< 0.1%
29311748 1
 
< 0.1%
29311812 1
 
< 0.1%
29311898 1
 
< 0.1%
29311988 1
 
< 0.1%
29312102 1
 
< 0.1%
29312216 1
 
< 0.1%
29312386 1
 
< 0.1%
ValueCountFrequency (%)
32502864 87
0.3%
32502848 1
 
< 0.1%
32502790 1
 
< 0.1%
32502698 1
 
< 0.1%
32502604 1
 
< 0.1%
32502522 1
 
< 0.1%
32502448 1
 
< 0.1%
32502366 1
 
< 0.1%
32502272 1
 
< 0.1%
32502160 1
 
< 0.1%

Active power generator 2, Total accumulated [W]
Real number (ℝ)

High correlation 

Distinct11156
Distinct (%)42.6%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3638446.9
Minimum3421024
Maximum3864773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:53.753881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3421024
5-th percentile3445008
Q13531336
median3637148
Q33742456
95-th percentile3835675
Maximum3864773
Range443749
Interquartile range (IQR)211120

Descriptive statistics

Standard deviation126810.69
Coefficient of variation (CV)0.034852972
Kurtosis-1.2107481
Mean3638446.9
Median Absolute Deviation (MAD)105812
Skewness0.041282173
Sum9.5316393 × 1010
Variance1.608095 × 1010
MonotonicityNot monotonic
2025-05-15T14:29:53.831906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3651274 421
 
1.6%
3557128 342
 
1.3%
3816909 336
 
1.3%
3489925 334
 
1.3%
3563698 326
 
1.2%
3617938 284
 
1.1%
3801998 283
 
1.1%
3508310 255
 
1.0%
3835675 221
 
0.8%
3425236 211
 
0.8%
Other values (11146) 23184
88.5%
ValueCountFrequency (%)
3421024 1
< 0.1%
3421041 1
< 0.1%
3421066 1
< 0.1%
3421091 1
< 0.1%
3421118 1
< 0.1%
3421146 1
< 0.1%
3421172 1
< 0.1%
3421196 1
< 0.1%
3421232 1
< 0.1%
3421270 1
< 0.1%
ValueCountFrequency (%)
3864773 1
< 0.1%
3864731 1
< 0.1%
3864683 1
< 0.1%
3864632 1
< 0.1%
3864574 1
< 0.1%
3864497 1
< 0.1%
3864421 1
< 0.1%
3864351 1
< 0.1%
3864277 1
< 0.1%
3864189 1
< 0.1%

Total Active power [W]
Real number (ℝ)

High correlation 

Distinct22455
Distinct (%)85.7%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean34578685
Minimum32625340
Maximum36251112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:53.910783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum32625340
5-th percentile32884162
Q133542992
median34665600
Q335525580
95-th percentile36167509
Maximum36251112
Range3625772
Interquartile range (IQR)1982588

Descriptive statistics

Standard deviation1087052.3
Coefficient of variation (CV)0.031437062
Kurtosis-1.2692796
Mean34578685
Median Absolute Deviation (MAD)967028
Skewness-0.21706444
Sum9.0585781 × 1011
Variance1.1816826 × 1012
MonotonicityNot monotonic
2025-05-15T14:29:53.994643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35525560 15
 
0.1%
34456336 14
 
0.1%
34456328 13
 
< 0.1%
35209776 12
 
< 0.1%
33988080 11
 
< 0.1%
35525556 11
 
< 0.1%
35371848 11
 
< 0.1%
33600956 11
 
< 0.1%
34651432 11
 
< 0.1%
33425484 10
 
< 0.1%
Other values (22445) 26078
99.5%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
32625340 1
< 0.1%
32625356 1
< 0.1%
32625382 1
< 0.1%
32625408 1
< 0.1%
32625434 1
< 0.1%
32625462 1
< 0.1%
32625488 1
< 0.1%
32625512 1
< 0.1%
32625548 1
< 0.1%
32625584 1
< 0.1%
ValueCountFrequency (%)
36251112 1
< 0.1%
36251068 1
< 0.1%
36251020 1
< 0.1%
36250968 1
< 0.1%
36250912 1
< 0.1%
36250832 1
< 0.1%
36250760 1
< 0.1%
36250688 1
< 0.1%
36250616 1
< 0.1%
36250528 1
< 0.1%

Reactive power generator 0,Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct4502
Distinct (%)17.2%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-99296.061
Minimum-103609
Maximum-95604
Zeros0
Zeros (%)0.0%
Negative26197
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-15T14:29:54.077836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-103609
5-th percentile-103042
Q1-101580
median-98930
Q3-97509
95-th percentile-95679.8
Maximum-95604
Range8005
Interquartile range (IQR)4071

Descriptive statistics

Standard deviation2367.4703
Coefficient of variation (CV)-0.02384254
Kurtosis-1.1958324
Mean-99296.061
Median Absolute Deviation (MAD)1808
Skewness-0.26177641
Sum-2.6012589 × 109
Variance5604915.8
MonotonicityNot monotonic
2025-05-15T14:29:54.161938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-95604 954
 
3.6%
-96913 913
 
3.5%
-98958 589
 
2.2%
-97647 518
 
2.0%
-98949 482
 
1.8%
-97805 478
 
1.8%
-102365 462
 
1.8%
-102918 414
 
1.6%
-100162 411
 
1.6%
-97509 405
 
1.5%
Other values (4492) 20571
78.5%
ValueCountFrequency (%)
-103609 37
0.1%
-103608 1
 
< 0.1%
-103605 1
 
< 0.1%
-103603 1
 
< 0.1%
-103601 1
 
< 0.1%
-103598 1
 
< 0.1%
-103596 1
 
< 0.1%
-103594 1
 
< 0.1%
-103591 1
 
< 0.1%
-103589 1
 
< 0.1%
ValueCountFrequency (%)
-95604 954
3.6%
-95605 1
 
< 0.1%
-95607 1
 
< 0.1%
-95608 2
 
< 0.1%
-95610 2
 
< 0.1%
-95612 1
 
< 0.1%
-95614 1
 
< 0.1%
-95616 1
 
< 0.1%
-95617 1
 
< 0.1%
-95620 1
 
< 0.1%

Reactive power generator 1, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct19
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean279.71291
Minimum270
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:54.230299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile271
Q1275
median280
Q3284
95-th percentile288
Maximum288
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.4956769
Coefficient of variation (CV)0.019647563
Kurtosis-1.2424832
Mean279.71291
Median Absolute Deviation (MAD)5
Skewness-0.22720556
Sum7327639
Variance30.202465
MonotonicityIncreasing
2025-05-15T14:29:54.288026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
284 2211
 
8.4%
282 1994
 
7.6%
283 1854
 
7.1%
286 1796
 
6.9%
279 1794
 
6.8%
272 1697
 
6.5%
287 1551
 
5.9%
271 1533
 
5.8%
285 1381
 
5.3%
288 1370
 
5.2%
Other values (9) 9016
34.4%
ValueCountFrequency (%)
270 760
2.9%
271 1533
5.8%
272 1697
6.5%
273 1312
5.0%
274 1120
4.3%
275 1131
4.3%
276 951
3.6%
277 889
3.4%
278 731
2.8%
279 1794
6.8%
ValueCountFrequency (%)
288 1370
5.2%
287 1551
5.9%
286 1796
6.9%
285 1381
5.3%
284 2211
8.4%
283 1854
7.1%
282 1994
7.6%
281 846
 
3.2%
280 1276
4.9%
279 1794
6.8%

Reactive power generator 2, Total accumulated [var]
Real number (ℝ)

High correlation 

Distinct71
Distinct (%)0.3%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1802.6706
Minimum1765
Maximum1835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:54.359022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1765
5-th percentile1766
Q11786
median1804
Q31821
95-th percentile1834
Maximum1835
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.243115
Coefficient of variation (CV)0.011784247
Kurtosis-1.1788493
Mean1802.6706
Median Absolute Deviation (MAD)17
Skewness-0.081824572
Sum47224561
Variance451.26993
MonotonicityNot monotonic
2025-05-15T14:29:54.437652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1790 1662
 
6.3%
1834 1523
 
5.8%
1805 1117
 
4.3%
1833 1069
 
4.1%
1819 984
 
3.8%
1765 968
 
3.7%
1778 935
 
3.6%
1830 911
 
3.5%
1821 884
 
3.4%
1793 726
 
2.8%
Other values (61) 15418
58.8%
ValueCountFrequency (%)
1765 968
3.7%
1766 419
1.6%
1767 66
 
0.3%
1768 94
 
0.4%
1769 292
 
1.1%
1770 261
 
1.0%
1771 347
 
1.3%
1772 88
 
0.3%
1773 152
 
0.6%
1774 206
 
0.8%
ValueCountFrequency (%)
1835 310
 
1.2%
1834 1523
5.8%
1833 1069
4.1%
1832 258
 
1.0%
1831 227
 
0.9%
1830 911
3.5%
1829 104
 
0.4%
1828 56
 
0.2%
1827 242
 
0.9%
1826 457
 
1.7%

Total reactive power [var]
Real number (ℝ)

High correlation 

Distinct4448
Distinct (%)17.0%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-97212.988
Minimum-101487
Maximum-93567
Zeros0
Zeros (%)0.0%
Negative26197
Negative (%)> 99.9%
Memory size1.4 MiB
2025-05-15T14:29:54.514632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-101487
5-th percentile-100920
Q1-99474
median-96844
Q3-95447
95-th percentile-93641.8
Maximum-93567
Range7920
Interquartile range (IQR)4027

Descriptive statistics

Standard deviation2341.0893
Coefficient of variation (CV)-0.024082063
Kurtosis-1.1949409
Mean-97212.988
Median Absolute Deviation (MAD)1779
Skewness-0.26590807
Sum-2.5466886 × 109
Variance5480699.1
MonotonicityNot monotonic
2025-05-15T14:29:54.747267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-93568 953
 
3.6%
-94863 761
 
2.9%
-95581 689
 
2.6%
-96871 578
 
2.2%
-96863 481
 
1.8%
-95735 479
 
1.8%
-100248 430
 
1.6%
-100797 421
 
1.6%
-95474 412
 
1.6%
-95447 405
 
1.5%
Other values (4438) 20588
78.6%
ValueCountFrequency (%)
-101487 37
0.1%
-101486 1
 
< 0.1%
-101483 1
 
< 0.1%
-101481 1
 
< 0.1%
-101479 1
 
< 0.1%
-101476 1
 
< 0.1%
-101474 1
 
< 0.1%
-101472 1
 
< 0.1%
-101469 1
 
< 0.1%
-101467 1
 
< 0.1%
ValueCountFrequency (%)
-93567 2
 
< 0.1%
-93568 953
3.6%
-93570 1
 
< 0.1%
-93571 2
 
< 0.1%
-93573 2
 
< 0.1%
-93575 1
 
< 0.1%
-93577 1
 
< 0.1%
-93578 1
 
< 0.1%
-93580 1
 
< 0.1%
-93582 1
 
< 0.1%

System Logs First Active Alarm No
Real number (ℝ)

High correlation  Zeros 

Distinct13
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.4257739
Minimum0
Maximum895
Zeros25819
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size1.4 MiB
2025-05-15T14:29:54.810772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum895
Range895
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.459851
Coefficient of variation (CV)10.934712
Kurtosis391.4783
Mean3.4257739
Median Absolute Deviation (MAD)0
Skewness17.902966
Sum89745
Variance1403.2405
MonotonicityNot monotonic
2025-05-15T14:29:54.860474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 25819
98.5%
144 222
 
0.8%
220 76
 
0.3%
895 29
 
0.1%
276 19
 
0.1%
224 15
 
0.1%
356 7
 
< 0.1%
844 3
 
< 0.1%
222 2
 
< 0.1%
181 2
 
< 0.1%
Other values (3) 3
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
0 25819
98.5%
127 1
 
< 0.1%
144 222
 
0.8%
181 2
 
< 0.1%
220 76
 
0.3%
222 2
 
< 0.1%
223 1
 
< 0.1%
224 15
 
0.1%
276 19
 
0.1%
318 1
 
< 0.1%
ValueCountFrequency (%)
895 29
 
0.1%
844 3
 
< 0.1%
356 7
 
< 0.1%
318 1
 
< 0.1%
276 19
 
0.1%
224 15
 
0.1%
223 1
 
< 0.1%
222 2
 
< 0.1%
220 76
0.3%
181 2
 
< 0.1%

First Alarm parameter 1 in 10 min frame
Real number (ℝ)

High correlation  Zeros 

Distinct15
Distinct (%)0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.2165133
Minimum-53
Maximum941
Zeros25963
Zeros (%)99.1%
Negative3
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:29:54.913244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-53
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum941
Range994
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.049005
Coefficient of variation (CV)10.849926
Kurtosis186.28857
Mean2.2165133
Median Absolute Deviation (MAD)0
Skewness11.948902
Sum58066
Variance578.35463
MonotonicityNot monotonic
2025-05-15T14:29:54.965323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 25963
99.1%
251 171
 
0.7%
260 36
 
0.1%
255 13
 
< 0.1%
-53 3
 
< 0.1%
252 2
 
< 0.1%
228 1
 
< 0.1%
148 1
 
< 0.1%
140 1
 
< 0.1%
181 1
 
< 0.1%
Other values (5) 5
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
-53 3
 
< 0.1%
0 25963
99.1%
2 1
 
< 0.1%
129 1
 
< 0.1%
140 1
 
< 0.1%
148 1
 
< 0.1%
176 1
 
< 0.1%
180 1
 
< 0.1%
181 1
 
< 0.1%
228 1
 
< 0.1%
ValueCountFrequency (%)
941 1
 
< 0.1%
260 36
 
0.1%
255 13
 
< 0.1%
252 2
 
< 0.1%
251 171
0.7%
228 1
 
< 0.1%
181 1
 
< 0.1%
180 1
 
< 0.1%
176 1
 
< 0.1%
148 1
 
< 0.1%

First Alarm parameter 2 in 10 min frame
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing11
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.060923006
Minimum-253
Maximum483
Zeros26183
Zeros (%)99.9%
Negative2
Negative (%)< 0.1%
Memory size1.4 MiB
2025-05-15T14:29:55.016000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-253
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum483
Range736
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.3533945
Coefficient of variation (CV)87.871475
Kurtosis4370.586
Mean0.060923006
Median Absolute Deviation (MAD)0
Skewness50.877863
Sum1596
Variance28.658832
MonotonicityNot monotonic
2025-05-15T14:29:55.068352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 26183
99.9%
51 3
 
< 0.1%
1 2
 
< 0.1%
-205 1
 
< 0.1%
-253 1
 
< 0.1%
245 1
 
< 0.1%
309 1
 
< 0.1%
281 1
 
< 0.1%
318 1
 
< 0.1%
261 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 11
 
< 0.1%
ValueCountFrequency (%)
-253 1
 
< 0.1%
-205 1
 
< 0.1%
0 26183
99.9%
1 2
 
< 0.1%
2 1
 
< 0.1%
51 3
 
< 0.1%
245 1
 
< 0.1%
261 1
 
< 0.1%
281 1
 
< 0.1%
309 1
 
< 0.1%
ValueCountFrequency (%)
483 1
 
< 0.1%
318 1
 
< 0.1%
309 1
 
< 0.1%
281 1
 
< 0.1%
261 1
 
< 0.1%
245 1
 
< 0.1%
51 3
 
< 0.1%
2 1
 
< 0.1%
1 2
 
< 0.1%
0 26183
99.9%

missing_data
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.2 MiB
False
26197 
True
 
11
ValueCountFrequency (%)
False 26197
> 99.9%
True 11
 
< 0.1%
2025-05-15T14:29:55.110364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-15T14:29:55.259909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Active power limit [W]Active power limit sourceAmbient Temp. Avg. [°C]Ambient WindDir Absolute Avg. [°]Ambient WindDir Relative Avg. [°]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed StdDev [m/s]Ambient ok hours [h]Avg. direction [°]Blades PitchAngle Avg. [°]Blades PitchAngle Max. [°]Blades PitchAngle Min. [°]Blades PitchAngle StdDev [°]Controller Ground Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]First Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min frameGear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Generator 1 hours [h]Generator 2 hours [h]Generator Bearing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator RPM Avg. [RPM]Generator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM StdDev [RPM]Generator SlipRing Temp. Avg. [°C]Grid Busbar Temp. Avg. [°C]Grid InverterPhase1 Temp. Avg. [°C]Grid Production CosPhi Avg.Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Frequency Avg. [Hz]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production Power Avg. [W]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid ok hours [h]Grid on hours [h]HVTrafo AirOutlet Temp. Avg. [°C]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HourCounters Average AlarmActive Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average Yaw Avg. [h]Hydraulic Oil Temp. Avg. [°C]Nacelle Temp. Avg. [°C]Power factor set pointPower factor set point sourceProduction LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Total Reactive Power Avg. [var]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Rotor RPM Avg. [RPM]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM StdDev [RPM]Run hours [h]Service hours [h]Spinner Temp. Avg. [°C]System Logs First Active Alarm NoTotal Active power [W]Total hour counter [h]Total reactive power [var]Turbine ok hours [h]Wind ok hours [h]Yaw hours [h]missing_data
Active power generator 0, Total accumulated [W]1.000-1.000-1.000-0.0650.000-0.780-0.205-0.2070.0770.1040.0570.116-1.000-0.2040.009-0.0040.0110.062-0.785-0.810-0.572-0.003-0.780-0.094-0.019-0.0100.0450.0540.0680.0690.0550.067-0.201-1.000-1.0000.0070.012-0.2040.0410.0460.0520.0820.0910.0770.004-0.379-0.362-0.0380.0560.0900.0880.0910.0170.0960.0990.1130.0740.1170.1190.1140.0750.0420.078-0.0250.0210.1400.1920.146-0.024-0.026-0.032-1.000-1.0000.067-0.129-0.118-0.120-0.0190.0100.085-0.056-0.0140.0040.0190.0160.0050.0530.0150.076-0.5810.0000.0000.0690.104-0.0440.0400.083-0.0010.1170.0751.000-0.998-0.9990.0800.0890.079-0.002-1.000-0.988-0.729-0.019-1.000-1.0001.000-1.000-1.000-1.0001.000
Active power generator 1, Total accumulated [W]-1.0001.0001.0000.0650.0050.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.003-0.011-0.0620.7840.8090.5710.0050.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3780.3610.039-0.055-0.089-0.088-0.0910.024-0.096-0.099-0.113-0.074-0.117-0.118-0.113-0.075-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.006-0.053-0.014-0.0760.5800.0050.005-0.068-0.1040.044-0.039-0.0830.001-0.117-0.074-1.0000.9980.999-0.079-0.089-0.0790.0031.0000.9880.7280.0191.0001.000-1.0001.0001.0001.0001.000
Active power generator 2, Total accumulated [W]-1.0001.0001.0000.0650.0050.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.069-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.046-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.025-0.096-0.099-0.113-0.074-0.117-0.118-0.114-0.075-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0250.0260.0331.0001.000-0.0670.1290.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.015-0.0760.5810.0050.005-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Active power limit [W]-0.0650.0650.0651.0000.4470.0500.0570.0310.0250.0210.0240.0040.0650.043-0.122-0.127-0.1180.0820.0690.0610.0180.1250.0960.125-0.2650.0010.1270.1270.1270.1270.1270.1280.1560.0650.0650.1280.1250.1290.1260.1260.1260.1160.1100.1170.0670.0750.0980.1170.1150.1150.1120.1130.0000.0230.0310.0100.0920.0970.0970.0830.1080.0840.0560.058-0.0710.0190.0030.0290.1200.1260.1270.0650.0650.0150.1180.1200.122-0.3260.3470.0630.0640.2470.1520.329-0.2440.2070.1190.0400.0240.0750.4470.4470.1360.0580.0600.0860.0350.0100.0970.067-0.0650.0670.0650.1170.1100.1170.0530.0650.0640.014-0.3250.0650.065-0.0650.0650.0650.0651.000
Active power limit source0.0000.0050.0050.4471.0000.0000.0170.0000.0000.0000.0000.0000.0010.0130.0910.0990.0850.0000.0000.0000.0000.0080.0000.0000.0000.0000.0160.0170.0140.0220.0210.0170.0340.0090.0000.0050.0200.0000.0000.0000.0000.0070.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0580.0000.0000.1181.0000.0541.0000.0980.0680.0000.0000.0000.5000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0070.0110.0000.0000.0010.0000.0000.0000.0050.0010.0000.0000.0050.0001.000
Ambient Temp. Avg. [°C]-0.7800.7800.7800.0500.0001.0000.1270.183-0.231-0.260-0.193-0.2610.7800.1230.0730.1040.044-0.1430.9030.9270.687-0.0940.6760.034-0.0240.008-0.182-0.194-0.210-0.204-0.203-0.2090.1760.7800.780-0.141-0.1460.150-0.179-0.186-0.194-0.227-0.240-0.207-0.0590.4540.317-0.058-0.181-0.231-0.229-0.2320.013-0.246-0.256-0.227-0.224-0.259-0.268-0.224-0.225-0.144-0.179-0.0040.006-0.211-0.236-0.220-0.080-0.077-0.0690.7800.780-0.1320.015-0.002-0.0020.0100.007-0.2070.088-0.021-0.015-0.0110.019-0.050-0.178-0.102-0.0320.6680.0000.000-0.188-0.2230.058-0.140-0.1700.008-0.259-0.190-0.7800.7720.779-0.226-0.238-0.210-0.0430.7800.7830.9200.0110.7800.780-0.7810.7800.7800.7801.000
Ambient WindDir Absolute Avg. [°]-0.2050.2050.2050.0570.0170.1271.0000.021-0.000-0.0220.019-0.0760.2050.878-0.092-0.077-0.112-0.0480.2050.1670.071-0.0030.100-0.016-0.054-0.0100.002-0.001-0.0010.0070.046-0.0000.0680.2050.205-0.0060.007-0.001-0.019-0.019-0.0200.007-0.0150.044-0.0360.0120.041-0.0240.065-0.014-0.014-0.0140.015-0.035-0.044-0.029-0.005-0.014-0.027-0.004-0.0020.047-0.0540.115-0.118-0.001-0.019-0.029-0.018-0.017-0.0170.2050.205-0.066-0.036-0.027-0.025-0.0630.056-0.0310.0900.0000.0110.0630.0020.0180.071-0.019-0.0130.0770.0170.0170.076-0.0520.0820.050-0.044-0.016-0.014-0.006-0.2050.2020.2040.014-0.0130.042-0.0350.2050.2200.151-0.0630.2050.205-0.2050.2050.2050.2051.000
Ambient WindDir Relative Avg. [°]-0.2070.2070.2070.0310.0000.1830.0211.000-0.0010.002-0.0230.0250.2070.031-0.072-0.088-0.045-0.0060.1950.1790.1300.0280.1520.059-0.0280.0160.0190.0170.0130.0120.0410.0120.0780.2070.2070.0280.0300.0920.0180.0170.0150.0130.0180.0020.0950.0960.1110.0360.0260.0040.0050.0040.000-0.0030.007-0.0300.0670.0000.011-0.0260.0670.0190.032-0.006-0.000-0.017-0.026-0.0270.0370.0360.0380.2070.207-0.0050.0510.0470.047-0.0170.035-0.0010.0250.025-0.0080.016-0.027-0.0090.0230.088-0.0200.1310.0000.0000.023-0.0250.0420.016-0.008-0.006-0.0000.005-0.2070.2040.2070.0150.0180.0030.0940.2070.2050.166-0.0170.2070.207-0.2070.2070.2070.2071.000
Ambient WindSpeed Avg. [m/s]0.077-0.077-0.0770.0250.000-0.231-0.000-0.0011.0000.9780.9510.777-0.0770.009-0.298-0.337-0.2380.388-0.149-0.1890.1380.8040.2790.7970.159-0.0000.9450.9400.9470.9360.8440.9370.526-0.077-0.0770.9040.9110.6950.9260.9240.9240.9460.9400.8870.0890.3320.6920.8620.7020.9550.9540.9540.0000.9930.9760.9140.7250.9550.9410.8800.7150.4750.4680.204-0.1340.5660.5330.7180.8950.8900.880-0.077-0.0770.5070.8010.8000.8140.090-0.1000.826-0.3810.0530.008-0.089-0.0540.0570.7330.107-0.2470.2960.0000.0000.6500.872-0.2750.4950.553-0.1380.9550.6040.076-0.075-0.0780.9420.9390.8900.054-0.077-0.079-0.3140.089-0.077-0.0770.076-0.077-0.077-0.0771.000
Ambient WindSpeed Max. [m/s]0.104-0.103-0.1030.0210.000-0.260-0.0220.0020.9781.0000.8900.867-0.103-0.013-0.258-0.348-0.1720.450-0.162-0.2070.1030.7950.2500.7790.1590.0010.9280.9250.9300.9160.8200.9210.501-0.103-0.1030.8890.8970.6770.9130.9120.9120.9260.9460.8360.1510.3030.6680.8470.6770.9410.9420.9410.0000.9800.9850.8670.7710.9400.9480.8320.7600.4660.5080.147-0.0760.5600.5330.7170.8780.8720.862-0.103-0.1030.4970.7930.7940.8070.094-0.1070.819-0.3900.0430.007-0.093-0.0440.0520.7070.187-0.2500.2760.0000.0000.6200.867-0.2810.4820.567-0.1240.9400.6110.103-0.101-0.1040.9190.9450.8410.115-0.103-0.107-0.3250.093-0.103-0.1030.103-0.103-0.103-0.1031.000
Ambient WindSpeed Min. [m/s]0.057-0.057-0.0570.0240.000-0.1930.019-0.0230.9510.8901.0000.588-0.0570.024-0.316-0.273-0.3240.242-0.142-0.1700.1590.7530.2790.7480.153-0.0070.8900.8830.8930.8850.7980.8810.498-0.057-0.0570.8470.8520.6490.8660.8640.8630.9000.8530.903-0.0450.3320.6560.8110.6830.8980.8970.8970.0000.9350.8900.9350.5790.9000.8570.9030.5710.4320.3360.294-0.2290.5360.4980.6700.8420.8370.827-0.057-0.0570.4750.7410.7380.7530.082-0.0910.767-0.3450.0600.019-0.082-0.0600.0600.710-0.020-0.2230.2840.0000.0000.6360.813-0.2580.4650.493-0.1690.9000.5310.057-0.056-0.0580.8980.8540.901-0.075-0.057-0.057-0.2940.081-0.057-0.0570.057-0.057-0.057-0.0571.000
Ambient WindSpeed StdDev [m/s]0.116-0.116-0.1160.0040.000-0.261-0.0760.0250.7770.8670.5881.000-0.116-0.063-0.047-0.2740.0970.613-0.141-0.1860.0530.6750.1860.6290.1590.0090.7400.7410.7390.7190.5970.7370.381-0.116-0.1160.7210.7240.5370.7460.7460.7470.7220.8130.5540.3060.2290.5430.6980.4820.7570.7600.7570.0000.7980.8550.6070.7750.7530.8130.5710.7650.3600.549-0.0390.1050.4490.4370.5950.7090.7040.697-0.116-0.1160.4130.6810.6830.6900.108-0.1210.657-0.3460.019-0.006-0.108-0.0210.0310.5050.375-0.2430.2370.0000.0000.4250.723-0.2530.3620.527-0.0550.7530.5410.116-0.113-0.1160.7090.8080.5640.267-0.116-0.120-0.2710.107-0.116-0.1160.116-0.116-0.116-0.1161.000
Ambient ok hours [h]-1.0001.0001.0000.0650.0010.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5730.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0010.001-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Avg. direction [°]-0.2040.2030.2030.0430.0130.1230.8780.0310.009-0.0130.024-0.0630.2031.000-0.088-0.076-0.106-0.0430.2010.1690.0860.0060.104-0.006-0.051-0.0110.0120.0090.0080.0170.0530.0100.0740.2030.2030.0030.0160.010-0.009-0.010-0.0110.017-0.0040.052-0.0380.0240.053-0.0140.069-0.004-0.005-0.0050.026-0.025-0.034-0.0210.003-0.004-0.0160.0050.0060.049-0.0520.112-0.1130.010-0.010-0.017-0.008-0.007-0.0070.2030.203-0.051-0.026-0.017-0.014-0.0660.053-0.0190.0800.0080.0110.067-0.0060.0350.072-0.024-0.0310.0850.0130.0130.080-0.0390.0710.052-0.034-0.018-0.0040.001-0.2030.2000.2030.023-0.0020.050-0.0370.2030.2190.154-0.0660.2040.203-0.2030.2030.2030.2031.000
Blades PitchAngle Avg. [°]0.009-0.009-0.009-0.1220.0910.073-0.092-0.072-0.298-0.258-0.316-0.047-0.009-0.0881.0000.8690.9360.2160.0190.0820.177-0.1960.010-0.2260.1570.024-0.336-0.323-0.351-0.351-0.584-0.335-0.245-0.009-0.009-0.289-0.317-0.262-0.290-0.288-0.287-0.373-0.312-0.428-0.3110.128-0.093-0.251-0.664-0.342-0.341-0.3420.103-0.288-0.267-0.229-0.453-0.341-0.313-0.316-0.455-0.532-0.187-0.4630.512-0.112-0.092-0.051-0.272-0.267-0.259-0.009-0.009-0.029-0.097-0.105-0.1190.204-0.191-0.213-0.300-0.093-0.014-0.2040.096-0.113-0.6780.013-0.1040.1610.0910.091-0.679-0.039-0.380-0.5540.0300.092-0.341-0.2850.008-0.009-0.009-0.396-0.316-0.429-0.304-0.009-0.0070.1720.204-0.009-0.0090.009-0.009-0.009-0.0091.000
Blades PitchAngle Max. [°]-0.0040.0030.004-0.1270.0990.104-0.077-0.088-0.337-0.348-0.273-0.2740.004-0.0760.8691.0000.757-0.0690.0190.0870.181-0.285-0.013-0.2720.1600.009-0.384-0.371-0.399-0.387-0.577-0.384-0.2680.0030.004-0.341-0.368-0.286-0.347-0.346-0.345-0.413-0.406-0.398-0.4020.119-0.139-0.329-0.699-0.394-0.394-0.3940.111-0.338-0.361-0.190-0.632-0.391-0.408-0.275-0.637-0.580-0.291-0.4230.461-0.138-0.114-0.092-0.327-0.320-0.3110.0040.004-0.079-0.166-0.177-0.1880.202-0.191-0.228-0.316-0.092-0.007-0.2010.094-0.112-0.709-0.167-0.0510.1230.0990.099-0.695-0.091-0.408-0.582-0.0470.056-0.391-0.366-0.0040.0030.003-0.431-0.407-0.405-0.3820.0040.0030.1820.2020.0040.004-0.0040.0040.0040.0041.000
Blades PitchAngle Min. [°]0.011-0.011-0.011-0.1180.0850.044-0.112-0.045-0.238-0.172-0.3240.097-0.011-0.1060.9360.7571.0000.3440.0150.0640.150-0.1620.008-0.1760.1580.028-0.274-0.259-0.288-0.291-0.490-0.273-0.208-0.011-0.011-0.228-0.252-0.200-0.229-0.227-0.226-0.309-0.210-0.421-0.1250.124-0.061-0.209-0.648-0.277-0.274-0.2770.096-0.224-0.176-0.246-0.299-0.278-0.223-0.351-0.298-0.483-0.005-0.5980.653-0.073-0.0470.001-0.218-0.213-0.205-0.011-0.011-0.010-0.042-0.048-0.0650.207-0.193-0.127-0.360-0.095-0.016-0.2060.096-0.114-0.6420.114-0.1150.1540.0850.085-0.6770.028-0.396-0.5430.0890.156-0.278-0.2140.011-0.011-0.011-0.330-0.215-0.418-0.123-0.011-0.0120.1520.207-0.011-0.0110.011-0.011-0.011-0.0111.000
Blades PitchAngle StdDev [°]0.062-0.062-0.0620.0820.000-0.143-0.048-0.0060.3880.4500.2420.613-0.062-0.0430.216-0.0690.3441.000-0.063-0.0520.0840.4680.1810.381-0.0580.0180.4200.4340.4090.4110.2210.4160.288-0.062-0.0620.4220.4190.2980.4440.4440.4430.4050.5080.2600.1920.2120.3580.4510.1920.4340.4390.4350.0000.3910.4770.1570.4510.4220.4980.1950.4580.4000.649-0.0260.1170.2210.1970.3290.4290.4250.420-0.062-0.0620.2770.4150.4170.434-0.0610.0580.2930.0290.018-0.0090.061-0.0200.0370.2260.423-0.1800.2190.0000.0000.2710.423-0.0060.3630.3520.2070.4220.4950.062-0.060-0.0620.3850.5030.2680.153-0.062-0.065-0.122-0.060-0.062-0.0620.062-0.062-0.062-0.0621.000
Controller Ground Temp. Avg. [°C]-0.7850.7840.7840.0690.0000.9030.2050.195-0.149-0.162-0.142-0.1410.7840.2010.0190.0190.015-0.0631.0000.9300.635-0.0220.6820.089-0.0400.007-0.095-0.106-0.123-0.117-0.108-0.1220.2170.7840.784-0.065-0.0660.193-0.099-0.106-0.114-0.136-0.140-0.134-0.0040.4290.3610.008-0.103-0.142-0.140-0.1430.010-0.163-0.161-0.182-0.104-0.171-0.168-0.169-0.104-0.071-0.1050.017-0.012-0.181-0.196-0.164-0.010-0.007-0.0010.7840.784-0.0990.0810.0690.073-0.0220.036-0.1410.0880.009-0.0090.021-0.012-0.015-0.099-0.019-0.0580.6560.0000.000-0.106-0.1580.067-0.066-0.1270.010-0.171-0.119-0.7840.7770.783-0.135-0.139-0.1340.0040.7840.7890.895-0.0210.7840.784-0.7850.7840.7840.7841.000
Controller Hub Temp. Avg. [°C]-0.8100.8090.8100.0610.0000.9270.1670.179-0.189-0.207-0.170-0.1860.8100.1690.0820.0870.064-0.0520.9301.0000.706-0.0390.7330.075-0.0570.010-0.128-0.140-0.159-0.151-0.168-0.1570.2120.8090.810-0.094-0.0950.184-0.129-0.136-0.145-0.174-0.176-0.171-0.0380.4720.376-0.007-0.148-0.180-0.178-0.1810.024-0.205-0.205-0.212-0.167-0.205-0.205-0.195-0.166-0.099-0.1190.0030.007-0.194-0.217-0.182-0.032-0.029-0.0220.8100.810-0.0680.0560.0370.046-0.0380.056-0.1700.0920.017-0.0060.038-0.019-0.015-0.146-0.025-0.0620.7000.0000.000-0.139-0.1730.054-0.092-0.1300.016-0.205-0.134-0.8100.8030.808-0.176-0.175-0.172-0.0260.8100.8080.963-0.0380.8100.810-0.8100.8100.8100.8101.000
Controller Top Temp. Avg. [°C]-0.5720.5710.5720.0180.0000.6870.0710.1300.1380.1030.1590.0530.5730.0860.1770.1810.1500.0840.6350.7061.0000.2650.7410.3440.0300.0130.1770.1630.1400.1410.0100.1450.3070.5710.5720.2290.2190.3900.1880.1810.1740.1140.1160.083-0.0840.7770.6740.274-0.0120.1240.1240.1220.0110.1240.1090.133-0.0450.1070.0930.120-0.050-0.0460.006-0.0210.0620.0510.0100.1050.2590.2600.2640.5720.5720.3880.4000.3680.3800.051-0.0330.110-0.141-0.013-0.012-0.0500.013-0.045-0.002-0.047-0.2430.8720.0000.000-0.0330.170-0.149-0.0310.118-0.0450.1070.045-0.5730.5670.5700.1010.1170.081-0.0760.5730.5690.6810.0510.5720.572-0.5730.5720.5720.5721.000
Controller VCP ChokecoilTemp. Avg. [°C]-0.0030.0050.0040.1250.008-0.094-0.0030.0280.8040.7950.7530.6750.0040.006-0.196-0.285-0.1620.468-0.022-0.0390.2651.0000.4150.817-0.0420.0040.8650.8620.8530.8420.6990.8670.5720.0050.0040.9100.9040.7350.8970.9000.9020.8120.8150.7440.0460.4160.7620.8690.6340.8290.8290.8280.0190.8050.8060.7210.6330.8260.8220.7560.6270.4430.3980.245-0.1880.4310.3900.5820.8580.8530.8470.0040.0040.6030.8650.8650.878-0.0810.0760.666-0.2310.0720.0050.081-0.0760.0790.6590.155-0.2750.4620.0080.0080.6130.743-0.1710.4740.479-0.1310.8260.549-0.0030.0060.0010.8030.8130.7480.0120.004-0.003-0.164-0.0810.0050.004-0.0040.0040.0040.0041.000
Controller VCP Temp. Avg. [°C]-0.7800.7800.7800.0960.0000.6760.1000.1520.2790.2500.2790.1860.7800.1040.010-0.0130.0080.1810.6820.7330.7410.4151.0000.480-0.0130.0110.3400.3300.3090.3090.2120.3170.4470.7800.7800.3960.3860.5300.3590.3540.3480.2770.2690.246-0.0340.6240.7370.4310.1660.2760.2790.2760.0100.2630.2600.2240.1600.2560.2490.2370.1520.1360.1130.098-0.0530.0820.0310.1610.4150.4170.4210.7800.7800.2990.5210.5060.516-0.0010.0170.222-0.0960.011-0.0090.001-0.014-0.0190.1820.023-0.2190.8260.0000.0000.1590.263-0.0930.1520.165-0.0390.2560.187-0.7810.7790.7780.2680.2700.246-0.0420.7800.7780.626-0.0010.7810.780-0.7810.7800.7810.7801.000
Controller VCP WaterTemp. Avg. [°C]-0.0940.0950.0950.1250.0000.034-0.0160.0590.7970.7790.7480.6290.095-0.006-0.226-0.272-0.1760.3810.0890.0750.3440.8170.4801.000-0.0760.0090.8660.8630.8470.8470.7470.8560.6360.0950.0950.8960.8850.9510.9030.8980.8940.8170.8090.7640.0410.4880.8230.9550.5800.8200.8210.8200.0000.7930.7920.7180.6310.8200.8110.7500.6200.4200.4430.148-0.0810.4710.4360.6370.9590.9620.9650.0950.0950.5800.8720.8680.879-0.0810.1030.757-0.3680.0670.0010.081-0.0700.0300.6160.098-0.2750.5330.0000.0000.5600.788-0.3020.4420.489-0.1040.8200.550-0.0950.0920.0930.8130.8090.7660.0110.0950.085-0.030-0.0810.0950.095-0.0950.0950.0950.0951.000
First Alarm parameter 1 in 10 min frame-0.0190.0190.019-0.2650.000-0.024-0.054-0.0280.1590.1590.1530.1590.019-0.0510.1570.1600.158-0.058-0.040-0.0570.030-0.042-0.013-0.0761.0000.034-0.092-0.091-0.095-0.113-0.123-0.091-0.0920.0190.019-0.037-0.056-0.077-0.052-0.048-0.046-0.120-0.075-0.1350.0310.001-0.003-0.084-0.110-0.096-0.097-0.0970.0000.1550.1210.149-0.105-0.097-0.080-0.112-0.076-0.127-0.051-0.1020.1030.0100.015-0.016-0.083-0.085-0.0860.0190.019-0.1200.0060.0080.0010.765-0.816-0.059-0.079-0.0020.002-0.762-0.0050.018-0.1470.025-0.046-0.0300.0000.000-0.178-0.044-0.075-0.130-0.038-0.016-0.097-0.100-0.0190.0190.018-0.121-0.076-0.1360.0290.0190.025-0.0500.7600.0190.019-0.0190.0190.0190.0191.000
First Alarm parameter 2 in 10 min frame-0.0100.0090.0090.0010.0000.008-0.0100.016-0.0000.001-0.0070.0090.009-0.0110.0240.0090.0280.0180.0070.0100.0130.0040.0110.0090.0341.0000.0010.001-0.001-0.003-0.0090.001-0.0070.0090.0090.0030.0020.0080.0010.0010.001-0.013-0.003-0.0250.0150.0190.0110.002-0.008-0.008-0.008-0.0080.0000.0000.003-0.0050.012-0.004-0.001-0.0170.0020.0020.014-0.0130.0150.0030.001-0.0010.0020.0020.0030.0090.0090.0140.0110.0100.0100.135-0.042-0.006-0.008-0.0280.000-0.135-0.001-0.1440.002-0.002-0.0020.0170.0000.000-0.024-0.002-0.005-0.000-0.013-0.019-0.004-0.000-0.0090.0090.010-0.014-0.003-0.0260.0130.0090.0070.0120.1380.0090.009-0.0090.0090.0090.0091.000
Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]0.045-0.045-0.0450.1270.016-0.1820.0020.0190.9450.9280.8900.740-0.0450.012-0.336-0.384-0.2740.420-0.095-0.1280.1770.8650.3400.866-0.0920.0011.0000.9960.9950.9900.8980.9940.612-0.045-0.0450.9630.9730.7790.9800.9780.9770.9760.9620.9160.0820.3740.7500.9200.7260.9800.9800.9800.0470.9430.9390.8590.7610.9790.9660.8990.7530.5050.4970.211-0.1430.5590.5240.7260.9500.9460.938-0.045-0.0450.5720.8530.8510.868-0.1320.1270.857-0.3720.0830.0100.131-0.0860.0910.7620.112-0.2480.3630.0160.0160.6960.894-0.2740.5290.564-0.1340.9790.6350.045-0.043-0.0460.9720.9620.9190.047-0.045-0.050-0.260-0.131-0.045-0.0450.044-0.045-0.045-0.0451.000
Gear Bearing TemperatureHSMiddle Avg. [°C]0.054-0.053-0.0530.1270.017-0.194-0.0010.0170.9400.9250.8830.741-0.0530.009-0.323-0.371-0.2590.434-0.106-0.1400.1630.8620.3300.863-0.0910.0010.9961.0000.9920.9890.8950.9930.607-0.053-0.0530.9630.9720.7760.9800.9780.9770.9720.9610.9110.0820.3650.7430.9150.7050.9750.9760.9750.0480.9380.9370.8500.7560.9750.9640.8900.7490.5100.5140.195-0.1240.5570.5230.7260.9470.9440.936-0.053-0.0530.5630.8520.8500.867-0.1300.1260.857-0.3770.0830.0100.130-0.0860.0920.7430.120-0.2460.3530.0170.0170.6830.896-0.2810.5340.565-0.1240.9750.6430.053-0.052-0.0540.9690.9610.9140.047-0.053-0.059-0.271-0.130-0.053-0.0530.053-0.053-0.053-0.0531.000
Gear Bearing TemperatureHSRotorEnd Avg. [°C]0.068-0.068-0.0680.1270.014-0.210-0.0010.0130.9470.9300.8930.739-0.0680.008-0.351-0.399-0.2880.409-0.123-0.1590.1400.8530.3090.847-0.095-0.0010.9950.9921.0000.9910.9080.9940.603-0.068-0.0680.9540.9650.7570.9720.9700.9690.9790.9630.9230.0800.3430.7190.9070.7330.9820.9820.9820.0510.9450.9410.8650.7690.9810.9680.9040.7600.5050.4900.218-0.1510.5640.5300.7290.9380.9340.926-0.068-0.0680.5610.8320.8320.848-0.1330.1280.858-0.3730.0810.0100.133-0.0840.0900.7700.104-0.2380.3230.0140.0140.6990.892-0.2700.5290.559-0.1370.9820.6300.068-0.066-0.0690.9770.9620.9260.045-0.068-0.073-0.290-0.133-0.068-0.0680.068-0.068-0.068-0.0681.000
Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]0.069-0.068-0.0690.1270.022-0.2040.0070.0120.9360.9160.8850.719-0.0680.017-0.351-0.387-0.2910.411-0.117-0.1510.1410.8420.3090.847-0.113-0.0030.9900.9890.9911.0000.9120.9890.606-0.068-0.0690.9510.9640.7590.9670.9660.9650.9760.9550.9270.0580.3420.7150.9000.7170.9740.9740.9740.0450.9320.9270.8500.7560.9740.9580.8970.7470.5220.5000.221-0.1500.5630.5290.7290.9350.9320.924-0.068-0.0680.5570.8240.8230.841-0.1520.1460.858-0.3670.0850.0100.152-0.0870.0960.7510.102-0.2320.3240.0220.0220.7000.890-0.2740.5460.556-0.1270.9740.6420.068-0.067-0.0690.9750.9550.9300.024-0.068-0.073-0.283-0.152-0.068-0.0680.068-0.068-0.068-0.0681.000
Gear Bearing TemperatureHollowShaftRotor Avg. [°C]0.055-0.055-0.0550.1270.021-0.2030.0460.0410.8440.8200.7980.597-0.0550.053-0.584-0.577-0.4900.221-0.108-0.1680.0100.6990.2120.747-0.123-0.0090.8980.8950.9080.9121.0000.9020.553-0.055-0.0550.8570.8770.7000.8650.8640.8630.9020.8650.9010.0930.1910.5800.7790.7190.8810.8810.8810.0330.8370.8310.7580.7850.8810.8640.8070.7790.5280.4770.226-0.1800.5360.5150.6790.8320.8300.822-0.055-0.0550.4380.7010.7080.719-0.1620.1550.842-0.3490.0840.0130.161-0.0860.0960.7550.062-0.1560.1680.0210.0210.7030.777-0.2460.5480.438-0.1240.8810.5680.055-0.054-0.0550.9210.8660.9040.062-0.055-0.058-0.296-0.161-0.055-0.0550.054-0.055-0.055-0.0551.000
Gear Oil TemperatureBasis Avg. [°C]0.067-0.066-0.0660.1280.017-0.209-0.0000.0120.9370.9210.8810.737-0.0660.010-0.335-0.384-0.2730.416-0.122-0.1570.1450.8670.3170.856-0.0910.0010.9940.9930.9940.9890.9021.0000.609-0.066-0.0660.9660.9760.7690.9790.9780.9780.9680.9550.9090.0830.3460.7270.9100.7170.9710.9720.9710.0340.9350.9330.8530.7590.9710.9590.8920.7510.4990.4980.201-0.1340.5570.5230.7220.9400.9370.929-0.066-0.0660.5670.8460.8450.861-0.1300.1250.857-0.3780.0810.0100.130-0.0830.0900.7540.112-0.2410.3340.0170.0170.6880.890-0.2800.5230.560-0.1320.9710.6310.066-0.064-0.0670.9650.9540.9120.048-0.066-0.071-0.289-0.130-0.066-0.0660.066-0.066-0.066-0.0661.000
Gear Oil TemperatureLevel1 Avg. [°C]-0.2010.2010.2010.1560.0340.1760.0680.0780.5260.5010.4980.3810.2010.074-0.245-0.268-0.2080.2880.2170.2120.3070.5720.4470.636-0.092-0.0070.6120.6070.6030.6060.5530.6091.0000.2010.2010.6230.6240.6330.6050.6040.6010.5620.5530.5370.1030.3840.5970.6090.4220.5490.5510.5470.4060.5060.5090.4310.4370.5440.5410.4790.4400.3430.3400.151-0.1040.2730.2390.3720.6260.6290.6310.2010.2010.3770.5740.5750.590-0.1440.1320.470-0.1340.0920.0120.144-0.0950.1120.4440.094-0.1620.4290.0340.0340.4420.477-0.1020.3590.292-0.0350.5440.383-0.2010.1980.1990.5620.5540.5380.0750.2010.1960.122-0.1440.2020.201-0.2010.2010.2010.2011.000
Generator 1 hours [h]-1.0001.0001.0000.0650.0090.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.003-0.011-0.0620.7840.8090.5710.0050.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3780.3610.039-0.055-0.089-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.118-0.113-0.075-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.006-0.053-0.014-0.0760.5800.0090.009-0.068-0.1040.044-0.039-0.0830.001-0.117-0.074-1.0000.9980.999-0.079-0.089-0.0790.0031.0000.9880.7280.0191.0001.000-1.0001.0001.0001.0001.000
Generator 2 hours [h]-1.0001.0001.0000.0650.0000.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.069-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.046-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.021-0.096-0.099-0.113-0.074-0.117-0.118-0.114-0.075-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0250.0260.0331.0001.000-0.0670.1290.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.015-0.0760.5810.0000.000-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Generator Bearing Temp. Avg. [°C]0.007-0.006-0.0060.1280.005-0.141-0.0060.0280.9040.8890.8470.721-0.0060.003-0.289-0.341-0.2280.422-0.065-0.0940.2290.9100.3960.896-0.0370.0030.9630.9630.9540.9510.8570.9660.623-0.006-0.0061.0000.9950.8310.9870.9890.9900.9180.9110.8580.0760.4120.7910.9280.6690.9230.9240.9230.0270.9020.9000.8160.7180.9200.9120.8410.7100.4700.4920.173-0.1070.5260.4900.6930.9490.9470.942-0.006-0.0060.6040.9080.9050.917-0.0800.0740.829-0.3780.0750.0100.080-0.0770.0820.7030.129-0.2640.4250.0050.0050.6420.862-0.2940.4950.545-0.1190.9210.6090.006-0.005-0.0080.9140.9110.8610.042-0.006-0.013-0.223-0.080-0.006-0.0060.006-0.006-0.006-0.0061.000
Generator Bearing2 Temp. Avg. [°C]0.012-0.011-0.0110.1250.020-0.1460.0070.0300.9110.8970.8520.724-0.0110.016-0.317-0.368-0.2520.419-0.066-0.0950.2190.9040.3860.885-0.0560.0020.9730.9720.9650.9640.8770.9760.624-0.011-0.0110.9951.0000.8190.9860.9880.9880.9320.9240.8720.0870.4010.7790.9200.6850.9350.9360.9350.0270.9080.9070.8190.7360.9330.9250.8500.7290.4870.5030.180-0.1130.5350.4990.7000.9450.9430.937-0.011-0.0110.6050.8920.8900.903-0.1010.0930.840-0.3750.0780.0100.101-0.0800.0890.7200.132-0.2550.4120.0200.0200.6620.867-0.2870.5110.549-0.1200.9340.6210.011-0.010-0.0130.9290.9240.8760.054-0.011-0.018-0.224-0.101-0.011-0.0110.011-0.011-0.011-0.0111.000
Generator CoolingWater Temp. Avg. [°C]-0.2040.2050.2050.1290.0000.150-0.0010.0920.6950.6770.6490.5370.2050.010-0.262-0.286-0.2000.2980.1930.1840.3900.7350.5300.951-0.0770.0080.7790.7760.7570.7590.7000.7690.6330.2050.2050.8310.8191.0000.8260.8220.8170.7220.7160.6740.0820.4950.8000.8880.5110.7190.7210.7190.0700.6890.6890.6150.5690.7150.7080.6440.5640.3620.4150.089-0.0350.4060.3730.5540.8930.8990.9070.2050.2050.5270.8240.8170.826-0.1010.1070.697-0.3490.0750.0060.101-0.0770.0620.5490.088-0.2460.5620.0000.0000.4950.694-0.2860.3780.426-0.0830.7160.477-0.2050.2020.2020.7210.7170.6760.0570.2050.1960.087-0.1000.2050.205-0.2050.2050.2050.2051.000
Generator Phase1 Temp. Avg. [°C]0.041-0.040-0.0400.1260.000-0.179-0.0190.0180.9260.9130.8660.746-0.040-0.009-0.290-0.347-0.2290.444-0.099-0.1290.1880.8970.3590.903-0.0520.0010.9800.9800.9720.9670.8650.9790.605-0.040-0.0400.9870.9860.8261.0000.9990.9980.9430.9370.8800.0690.3820.7710.9470.6940.9510.9520.9520.0130.9260.9250.8380.7400.9500.9420.8680.7330.4930.5080.183-0.1160.5500.5140.7210.9670.9640.959-0.040-0.0400.5830.8960.8950.909-0.0910.0880.853-0.3850.0770.0080.091-0.0790.0800.7280.134-0.2610.3880.0000.0000.6680.890-0.3020.5180.563-0.1240.9500.6340.040-0.039-0.0410.9380.9370.8840.034-0.040-0.047-0.260-0.091-0.040-0.0400.040-0.040-0.040-0.0401.000
Generator Phase2 Temp. Avg. [°C]0.046-0.045-0.0460.1260.000-0.186-0.0190.0170.9240.9120.8640.746-0.045-0.010-0.288-0.346-0.2270.444-0.106-0.1360.1810.9000.3540.898-0.0480.0010.9780.9780.9700.9660.8640.9780.604-0.045-0.0460.9890.9880.8220.9991.0000.9990.9400.9350.8770.0710.3760.7660.9430.6920.9490.9500.9490.0100.9240.9230.8370.7390.9470.9390.8660.7310.4900.5080.180-0.1140.5490.5130.7180.9630.9600.955-0.045-0.0450.5830.8960.8950.909-0.0890.0850.851-0.3850.0760.0080.089-0.0780.0820.7260.135-0.2600.3820.0000.0000.6660.888-0.3020.5140.563-0.1230.9480.6320.046-0.044-0.0470.9350.9340.8800.036-0.045-0.052-0.267-0.089-0.045-0.0450.045-0.045-0.045-0.0451.000
Generator Phase3 Temp. Avg. [°C]0.052-0.051-0.0510.1260.000-0.194-0.0200.0150.9240.9120.8630.747-0.051-0.011-0.287-0.345-0.2260.443-0.114-0.1450.1740.9020.3480.894-0.0460.0010.9770.9770.9690.9650.8630.9780.601-0.051-0.0510.9900.9880.8170.9980.9991.0000.9390.9340.8750.0740.3710.7610.9390.6910.9480.9490.9480.0080.9240.9230.8370.7390.9470.9390.8650.7320.4860.5070.176-0.1110.5480.5120.7170.9590.9570.951-0.051-0.0510.5820.8950.8940.908-0.0880.0820.850-0.3860.0760.0090.088-0.0780.0830.7240.137-0.2580.3750.0000.0000.6640.888-0.3020.5110.563-0.1230.9470.6300.051-0.050-0.0520.9340.9340.8790.039-0.051-0.058-0.275-0.088-0.051-0.0510.051-0.051-0.051-0.0511.000
Generator RPM Avg. [RPM]0.082-0.082-0.0820.1160.007-0.2270.0070.0130.9460.9260.9000.722-0.0820.017-0.373-0.413-0.3090.405-0.136-0.1740.1140.8120.2770.817-0.120-0.0130.9760.9720.9790.9760.9020.9680.562-0.082-0.0820.9180.9320.7220.9430.9400.9391.0000.9670.9420.0750.3200.6860.8840.7310.9850.9840.9840.0150.9410.9380.8590.7680.9840.9690.9070.7590.5240.4850.239-0.1670.5680.5340.7290.9190.9150.905-0.082-0.0820.5380.7960.7950.812-0.1640.1550.851-0.3550.0870.0140.164-0.0890.1050.7660.104-0.2270.2910.0070.0070.7070.884-0.2520.5460.550-0.1270.9840.6340.082-0.080-0.0820.9930.9680.9450.039-0.082-0.085-0.305-0.164-0.082-0.0820.081-0.082-0.082-0.0821.000
Generator RPM Max. [RPM]0.091-0.091-0.0910.1100.012-0.240-0.0150.0180.9400.9460.8530.813-0.091-0.004-0.312-0.406-0.2100.508-0.140-0.1760.1160.8150.2690.809-0.075-0.0030.9620.9610.9630.9550.8650.9550.553-0.091-0.0910.9110.9240.7160.9370.9350.9340.9671.0000.8720.2080.3250.6860.8740.6890.9780.9790.9780.0200.9390.9610.8140.8160.9750.9900.8450.8120.4980.5850.134-0.0590.5580.5280.7210.9090.9050.896-0.091-0.0910.5300.8050.8040.819-0.1220.1140.844-0.3680.0840.0110.122-0.0860.1010.7300.203-0.2390.2990.0120.0120.6560.887-0.2590.5080.590-0.0820.9750.6430.090-0.089-0.0910.9610.9990.8770.170-0.091-0.095-0.299-0.122-0.091-0.0910.090-0.091-0.091-0.0911.000
Generator RPM Min. [RPM]0.077-0.077-0.0770.1170.000-0.2070.0440.0020.8870.8360.9030.554-0.0770.052-0.428-0.398-0.4210.260-0.134-0.1710.0830.7440.2460.764-0.135-0.0250.9160.9110.9230.9270.9010.9090.537-0.077-0.0770.8580.8720.6740.8800.8770.8750.9420.8721.000-0.1100.2700.6270.8230.7050.9190.9180.9190.0100.8740.8470.8620.6760.9200.8790.9250.6650.4990.3700.351-0.2790.5590.5270.7130.8640.8600.851-0.077-0.0770.4920.7300.7320.749-0.1820.1700.827-0.3380.0900.0200.182-0.0900.1080.734-0.006-0.1990.2400.0000.0000.7130.830-0.2750.5420.479-0.1690.9200.5640.077-0.075-0.0770.9540.8730.998-0.142-0.077-0.079-0.305-0.182-0.077-0.0770.077-0.077-0.077-0.0771.000
Generator RPM StdDev [RPM]0.004-0.004-0.0040.0670.000-0.059-0.0360.0950.0890.151-0.0450.306-0.004-0.038-0.311-0.402-0.1250.192-0.004-0.038-0.0840.046-0.0340.0410.0310.0150.0820.0820.0800.0580.0930.0830.103-0.004-0.0040.0760.0870.0820.0690.0710.0740.0750.208-0.1101.000-0.0250.0020.0220.1480.0980.1030.0980.0000.0930.160-0.0890.3140.0880.163-0.1150.3250.0600.409-0.2180.196-0.090-0.088-0.1630.0390.0390.039-0.004-0.004-0.0310.0100.0090.005-0.0120.004-0.0150.1570.0590.0020.012-0.0650.0730.2100.3090.054-0.0690.0000.0000.101-0.0740.2780.0170.0850.1080.0870.0770.004-0.004-0.0030.0540.208-0.1040.986-0.004-0.009-0.045-0.012-0.004-0.0040.004-0.004-0.004-0.0041.000
Generator SlipRing Temp. Avg. [°C]-0.3790.3780.3790.0750.0000.4540.0120.0960.3320.3030.3320.2290.3790.0240.1280.1190.1240.2120.4290.4720.7770.4160.6240.4880.0010.0190.3740.3650.3430.3420.1910.3460.3840.3780.3790.4120.4010.4950.3820.3760.3710.3200.3250.270-0.0251.0000.7630.4360.1030.3290.3300.3270.0330.3190.3100.3090.1130.3130.3040.2990.1070.0400.147-0.0210.0790.1580.1290.2580.4340.4350.4360.3790.3790.6530.5370.5150.5260.0140.0070.288-0.2280.021-0.004-0.013-0.022-0.0140.1320.003-0.2640.8080.0000.0000.0840.362-0.2150.0570.240-0.0440.3130.170-0.3790.3730.3760.3040.3260.270-0.0280.3790.3710.4440.0140.3790.379-0.3800.3790.3790.3791.000
Grid Busbar Temp. Avg. [°C]-0.3620.3610.3620.0980.0000.3170.0410.1110.6920.6680.6560.5430.3620.053-0.093-0.139-0.0610.3580.3610.3760.6740.7620.7370.823-0.0030.0110.7500.7430.7190.7150.5800.7270.5970.3610.3620.7910.7790.8000.7710.7660.7610.6860.6860.6270.0020.7631.0000.8000.4430.6950.6970.6950.0090.6830.6790.6180.4840.6820.6740.6260.4750.3130.3410.119-0.0490.3680.3270.5240.8040.8040.8030.3620.3620.6620.8720.8560.870-0.0070.0230.611-0.3150.037-0.0030.007-0.0380.0050.4760.090-0.3350.8290.0000.0000.4200.672-0.2650.3370.434-0.1030.6820.450-0.3620.3580.3590.6770.6860.629-0.0200.3620.3520.274-0.0070.3620.362-0.3620.3620.3620.3621.000
Grid InverterPhase1 Temp. Avg. [°C]-0.0380.0390.0390.1170.000-0.058-0.0240.0360.8620.8470.8110.6980.039-0.014-0.251-0.329-0.2090.4510.008-0.0070.2740.8690.4310.955-0.0840.0020.9200.9150.9070.9000.7790.9100.6090.0390.0390.9280.9200.8880.9470.9430.9390.8840.8740.8230.0220.4360.8001.0000.6850.8940.8950.8940.0090.8620.8610.7790.6890.8940.8830.8220.6780.4880.4410.245-0.1810.5010.4580.6680.9810.9790.9770.0390.0390.5740.8760.8720.888-0.1030.1170.771-0.3120.0770.0050.103-0.0800.0550.7140.123-0.2750.4700.0000.0000.6560.827-0.2450.5150.506-0.1180.8940.599-0.0390.0380.0370.8770.8730.826-0.0110.0390.032-0.130-0.1030.0390.039-0.0390.0390.0390.0391.000
Grid Production CosPhi Avg.0.056-0.055-0.0560.1150.000-0.1810.0650.0260.7020.6770.6830.482-0.0560.069-0.664-0.699-0.6480.192-0.103-0.148-0.0120.6340.1660.580-0.110-0.0080.7260.7050.7330.7170.7190.7170.422-0.055-0.0560.6690.6850.5110.6940.6920.6910.7310.6890.7050.1480.1030.4430.6851.0000.7410.7400.7410.0200.7030.6730.6290.6570.7450.7120.7000.6530.6340.2440.576-0.5900.3410.2950.3830.6710.6620.649-0.056-0.0560.3200.4980.5000.523-0.1530.1460.4970.1350.0800.0090.152-0.0830.0940.9390.063-0.0840.0960.0000.0000.9090.4760.2140.6560.305-0.2120.7450.5300.055-0.054-0.0560.7290.6900.7090.125-0.056-0.057-0.279-0.152-0.056-0.0560.055-0.056-0.056-0.0561.000
Grid Production CurrentPhase1 Avg. [A]0.090-0.089-0.0890.1150.000-0.231-0.0140.0040.9550.9410.8980.757-0.089-0.004-0.342-0.394-0.2770.434-0.142-0.1800.1240.8290.2760.820-0.096-0.0080.9800.9750.9820.9740.8810.9710.549-0.089-0.0890.9230.9350.7190.9510.9490.9480.9850.9780.9190.0980.3290.6950.8940.7411.0000.9991.0000.0000.9560.9530.8700.7740.9920.9810.9080.7670.5070.5010.217-0.1500.5620.5280.7260.9260.9210.911-0.090-0.0900.5330.8120.8090.827-0.1400.1300.849-0.3560.0810.0110.139-0.0830.1010.7740.121-0.2350.3020.0000.0000.7000.895-0.2500.5270.572-0.1310.9920.6320.089-0.087-0.0900.9800.9770.9220.065-0.089-0.094-0.311-0.139-0.089-0.0900.089-0.090-0.089-0.0891.000
Grid Production CurrentPhase2 Avg. [A]0.088-0.088-0.0880.1120.000-0.229-0.0140.0050.9540.9420.8970.760-0.088-0.005-0.341-0.394-0.2740.439-0.140-0.1780.1240.8290.2790.821-0.097-0.0080.9800.9760.9820.9740.8810.9720.551-0.088-0.0880.9240.9360.7210.9520.9500.9490.9840.9790.9180.1030.3300.6970.8950.7400.9991.0000.9990.0000.9560.9540.8690.7750.9920.9810.9060.7680.5050.5080.210-0.1420.5610.5280.7270.9270.9220.912-0.088-0.0880.5330.8140.8110.828-0.1390.1290.853-0.3610.0780.0100.139-0.0800.0980.7740.124-0.2350.3050.0000.0000.6960.897-0.2550.5250.573-0.1270.9920.6330.087-0.086-0.0880.9800.9780.9210.070-0.088-0.092-0.310-0.138-0.088-0.0880.087-0.088-0.088-0.0881.000
Grid Production CurrentPhase3 Avg. [A]0.091-0.091-0.0910.1130.000-0.232-0.0140.0040.9540.9410.8970.757-0.091-0.005-0.342-0.394-0.2770.435-0.143-0.1810.1220.8280.2760.820-0.097-0.0080.9800.9750.9820.9740.8810.9710.547-0.091-0.0910.9230.9350.7190.9520.9490.9480.9840.9780.9190.0980.3270.6950.8940.7411.0000.9991.0000.0000.9560.9530.8700.7730.9930.9810.9080.7670.5070.5030.214-0.1470.5620.5290.7280.9260.9210.912-0.091-0.0910.5320.8120.8090.827-0.1400.1310.853-0.3590.0800.0110.140-0.0830.1010.7740.121-0.2340.3010.0000.0000.7000.897-0.2540.5270.573-0.1310.9930.6340.090-0.089-0.0910.9800.9770.9230.065-0.091-0.095-0.312-0.140-0.091-0.0910.090-0.091-0.091-0.0911.000
Grid Production Frequency Avg. [Hz]0.0170.0240.0250.0000.0000.0130.0150.0000.0000.0000.0000.0000.0230.0260.1030.1110.0960.0000.0100.0240.0110.0190.0100.0000.0000.0000.0470.0480.0510.0450.0330.0340.4060.0230.0210.0270.0270.0700.0130.0100.0080.0150.0200.0100.0000.0330.0090.0090.0200.0000.0000.0001.0000.0000.0020.0000.0000.0000.0000.0000.0000.0000.0120.0000.0000.8180.8180.8160.0000.0110.0100.0230.0230.0070.0000.0010.0000.0620.0650.0000.0000.1330.0000.0610.1350.1100.0030.0000.2340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0150.0230.0190.0150.0190.0100.0000.0230.3780.0000.1130.0230.0230.0150.0220.0220.0221.000
Grid Production PossiblePower Avg. [W]0.096-0.096-0.0960.0230.000-0.246-0.035-0.0030.9930.9800.9350.798-0.096-0.025-0.288-0.338-0.2240.391-0.163-0.2050.1240.8050.2630.7930.1550.0000.9430.9380.9450.9320.8370.9350.506-0.096-0.0960.9020.9080.6890.9260.9240.9240.9410.9390.8740.0930.3190.6830.8620.7030.9560.9560.9560.0001.0000.9840.9180.7360.9560.9450.8790.7250.4670.4680.191-0.1230.5680.5370.7230.8930.8880.878-0.096-0.0960.5060.8030.8010.8150.091-0.1010.830-0.3930.0470.007-0.090-0.0490.0510.7310.111-0.2460.2860.0000.0000.6430.877-0.2830.4860.560-0.1420.9560.6030.096-0.094-0.0960.9360.9390.8770.060-0.096-0.099-0.3280.090-0.096-0.0960.095-0.096-0.096-0.0961.000
Grid Production PossiblePower Max. [W]0.099-0.099-0.0990.0310.000-0.256-0.0440.0070.9760.9850.8900.855-0.099-0.034-0.267-0.361-0.1760.477-0.161-0.2050.1090.8060.2600.7920.1210.0030.9390.9370.9410.9270.8310.9330.509-0.099-0.0990.9000.9070.6890.9250.9230.9230.9380.9610.8470.1600.3100.6790.8610.6730.9530.9540.9530.0020.9841.0000.8650.8050.9520.9670.8380.7920.4830.5450.138-0.0600.5640.5360.7220.8920.8860.876-0.099-0.0990.5140.8070.8060.8190.071-0.0780.831-0.3920.0390.008-0.070-0.0400.0420.7110.192-0.2530.2840.0000.0000.6220.877-0.2810.4970.580-0.0990.9520.6330.098-0.096-0.0990.9310.9590.8510.124-0.099-0.102-0.3260.070-0.099-0.0990.098-0.099-0.099-0.0991.000
Grid Production PossiblePower Min. [W]0.113-0.113-0.1130.0100.000-0.227-0.029-0.0300.9140.8670.9350.607-0.113-0.021-0.229-0.190-0.2460.157-0.182-0.2120.1330.7210.2240.7180.149-0.0050.8590.8500.8650.8500.7580.8530.431-0.113-0.1130.8160.8190.6150.8380.8370.8370.8590.8140.862-0.0890.3090.6180.7790.6290.8700.8690.8700.0000.9180.8651.0000.5410.8730.8260.9380.5290.2890.2480.208-0.1580.5450.5200.6970.8110.8070.798-0.113-0.1130.4760.7320.7280.7390.084-0.0940.792-0.4770.0480.013-0.083-0.0480.0510.649-0.068-0.2270.2640.0000.0000.5370.835-0.3860.3360.507-0.2350.8730.4440.113-0.112-0.1140.8550.8140.862-0.114-0.113-0.115-0.3180.083-0.113-0.1130.113-0.113-0.113-0.1131.000
Grid Production PossiblePower StdDev [W]0.074-0.074-0.0740.0920.000-0.224-0.0050.0670.7250.7710.5790.775-0.0740.003-0.453-0.632-0.2990.451-0.104-0.167-0.0450.6330.1600.631-0.1050.0120.7610.7560.7690.7560.7850.7590.437-0.074-0.0740.7180.7360.5690.7400.7390.7390.7680.8160.6760.3140.1130.4840.6890.6570.7740.7750.7730.0000.7360.8050.5411.0000.7710.8300.5860.9890.5300.5700.142-0.0910.4430.4240.5450.7160.7110.702-0.074-0.0740.3990.6100.6210.625-0.0970.1010.677-0.2030.023-0.0000.096-0.0250.0240.6920.319-0.1650.1260.0000.0000.6340.639-0.0920.5270.467-0.0550.7710.5950.074-0.072-0.0730.7730.8130.6830.280-0.074-0.075-0.280-0.096-0.074-0.0740.073-0.074-0.074-0.0741.000
Grid Production Power Avg. [W]0.117-0.117-0.1170.0970.000-0.259-0.0140.0000.9550.9400.9000.753-0.117-0.004-0.341-0.391-0.2780.422-0.171-0.2050.1070.8260.2560.820-0.097-0.0040.9790.9750.9810.9740.8810.9710.544-0.117-0.1170.9200.9330.7150.9500.9470.9470.9840.9750.9200.0880.3130.6820.8940.7450.9920.9920.9930.0000.9560.9520.8730.7711.0000.9850.9140.7620.5210.5010.227-0.1570.5700.5380.7330.9250.9200.910-0.117-0.1170.5450.7990.7980.815-0.1340.1300.852-0.3610.0750.0090.133-0.0780.0860.7760.105-0.2310.2820.0000.0000.7110.897-0.2520.5420.574-0.1341.0000.6440.116-0.115-0.1170.9790.9750.9230.055-0.117-0.121-0.328-0.133-0.117-0.1170.116-0.117-0.117-0.1171.000
Grid Production Power Max. [W]0.119-0.118-0.1180.0970.000-0.268-0.0270.0110.9410.9480.8570.813-0.119-0.016-0.313-0.408-0.2230.498-0.168-0.2050.0930.8220.2490.811-0.080-0.0010.9660.9640.9680.9580.8640.9590.541-0.118-0.1180.9120.9250.7080.9420.9390.9390.9690.9900.8790.1630.3040.6740.8830.7120.9810.9810.9810.0000.9450.9670.8260.8300.9851.0000.8620.8250.5150.5650.166-0.0890.5620.5330.7250.9140.9090.899-0.119-0.1190.5410.8000.8000.815-0.1180.1140.846-0.3640.0740.0070.118-0.0760.0850.7480.190-0.2360.2760.0000.0000.6760.890-0.2540.5300.587-0.0960.9850.6540.118-0.116-0.1190.9620.9880.8840.128-0.119-0.123-0.325-0.117-0.118-0.1190.118-0.119-0.119-0.1191.000
Grid Production Power Min. [W]0.114-0.113-0.1140.0830.000-0.224-0.004-0.0260.8800.8320.9030.571-0.1130.005-0.316-0.275-0.3510.195-0.169-0.1950.1200.7560.2370.750-0.112-0.0170.8990.8900.9040.8970.8070.8920.479-0.113-0.1140.8410.8500.6440.8680.8660.8650.9070.8450.925-0.1150.2990.6260.8220.7000.9080.9060.9080.0000.8790.8380.9380.5860.9140.8621.0000.5650.3770.2660.332-0.2840.5420.5100.6960.8490.8440.835-0.113-0.1130.5100.7350.7310.748-0.1390.1350.796-0.3860.0620.0120.139-0.0620.0670.716-0.060-0.2070.2690.0000.0000.6620.834-0.3220.4460.494-0.2360.9140.4970.113-0.111-0.1140.9040.8450.926-0.142-0.113-0.116-0.312-0.139-0.113-0.1130.113-0.113-0.113-0.1131.000
Grid Production Power StdDev [W]0.075-0.075-0.0750.1080.000-0.225-0.0020.0670.7150.7600.5710.765-0.0750.006-0.455-0.637-0.2980.458-0.104-0.166-0.0500.6270.1520.620-0.0760.0020.7530.7490.7600.7470.7790.7510.440-0.075-0.0750.7100.7290.5640.7330.7310.7320.7590.8120.6650.3250.1070.4750.6780.6530.7670.7680.7670.0000.7250.7920.5290.9890.7620.8250.5651.0000.5240.5710.125-0.0750.4370.4180.5370.7060.7020.693-0.075-0.0750.3850.6000.6110.616-0.1180.1100.668-0.1930.0740.0060.118-0.0780.0940.6780.328-0.1550.1170.0000.0000.6270.630-0.0780.5150.462-0.0500.7620.5860.075-0.073-0.0740.7640.8100.6720.290-0.075-0.076-0.279-0.117-0.075-0.0750.074-0.075-0.075-0.0751.000
Grid Production ReactivePower Avg. [W]0.042-0.041-0.0410.0840.063-0.1440.0470.0190.4750.4660.4320.360-0.0420.049-0.532-0.580-0.4830.400-0.071-0.099-0.0460.4430.1360.420-0.1270.0020.5050.5100.5050.5220.5280.4990.343-0.041-0.0410.4700.4870.3620.4930.4900.4860.5240.4980.4990.0600.0400.3130.4880.6340.5070.5050.5070.0000.4670.4830.2890.5300.5210.5150.3770.5241.0000.5050.473-0.4120.2210.1800.2420.4850.4760.464-0.042-0.0420.2160.3220.3280.354-0.1050.1350.3070.3000.029-0.0060.103-0.031-0.0160.6390.170-0.0370.0390.0630.0630.7300.2930.3380.9460.2230.1070.5210.7920.042-0.040-0.0410.5310.4980.5000.029-0.042-0.045-0.209-0.104-0.041-0.0420.042-0.042-0.041-0.0421.000
Grid Production ReactivePower Max. [W]0.078-0.078-0.0780.0560.008-0.179-0.0540.0320.4680.5080.3360.549-0.078-0.052-0.187-0.291-0.0050.649-0.105-0.1190.0060.3980.1130.443-0.0510.0140.4970.5140.4900.5000.4770.4980.340-0.078-0.0780.4920.5030.4150.5080.5080.5070.4850.5850.3700.4090.1470.3410.4410.2440.5010.5080.5030.0120.4680.5450.2480.5700.5010.5650.2660.5710.5051.000-0.2670.3230.2920.2840.3930.4820.4820.478-0.078-0.0780.2610.4230.4260.439-0.0440.0540.531-0.1930.011-0.0020.045-0.0120.0050.3210.413-0.1090.1130.0080.0080.3010.502-0.1640.4650.4300.2410.5010.6260.078-0.077-0.0780.4790.5830.3730.383-0.078-0.087-0.184-0.043-0.078-0.0780.078-0.078-0.078-0.0781.000
Grid Production ReactivePower Min. [W]-0.0250.0250.0250.0580.000-0.0040.115-0.0060.2040.1470.294-0.0390.0250.112-0.463-0.423-0.598-0.0260.0170.003-0.0210.2450.0980.148-0.102-0.0130.2110.1950.2180.2210.2260.2010.1510.0250.0250.1730.1800.0890.1830.1800.1760.2390.1340.351-0.218-0.0210.1190.2450.5760.2170.2100.2140.0000.1910.1380.2080.1420.2270.1660.3320.1250.473-0.2671.000-0.9160.036-0.008-0.0240.1960.1860.1740.0250.0250.0720.0600.0640.086-0.0870.103-0.0900.5580.016-0.0090.085-0.019-0.0150.517-0.1580.018-0.0080.0000.0000.664-0.0670.5050.538-0.123-0.1770.2270.182-0.0250.0260.0250.2510.1360.349-0.2280.0250.029-0.081-0.0860.0250.025-0.0250.0250.0250.0251.000
Grid Production ReactivePower StdDev [W]0.021-0.021-0.021-0.0710.0000.006-0.118-0.000-0.134-0.076-0.2290.105-0.021-0.1130.5120.4610.6530.117-0.0120.0070.062-0.188-0.053-0.0810.1030.015-0.143-0.124-0.151-0.150-0.180-0.134-0.104-0.021-0.021-0.107-0.113-0.035-0.116-0.114-0.111-0.167-0.059-0.2790.1960.079-0.049-0.181-0.590-0.150-0.142-0.1470.000-0.123-0.060-0.158-0.091-0.157-0.089-0.284-0.075-0.4120.323-0.9161.0000.0070.0490.089-0.125-0.115-0.103-0.021-0.021-0.0080.0060.002-0.0210.098-0.1100.160-0.621-0.032-0.002-0.0970.032-0.007-0.5160.145-0.0490.0640.0000.000-0.6730.150-0.561-0.4840.1900.231-0.157-0.0910.020-0.021-0.021-0.177-0.062-0.2790.203-0.021-0.0250.0900.098-0.021-0.0210.020-0.021-0.021-0.0211.000
Grid Production VoltagePhase1 Avg. [V]0.140-0.140-0.1400.0190.000-0.211-0.001-0.0170.5660.5600.5360.449-0.1400.010-0.112-0.138-0.0730.221-0.181-0.1940.0510.4310.0820.4710.0100.0030.5590.5570.5640.5630.5360.5570.273-0.140-0.1400.5260.5350.4060.5500.5490.5480.5680.5580.559-0.0900.1580.3680.5010.3410.5620.5610.5620.8180.5680.5640.5450.4430.5700.5620.5420.4370.2210.2920.0360.0071.0000.9830.8970.5310.5310.526-0.140-0.1400.3410.4710.4730.476-0.0140.0100.585-0.3810.0190.0100.015-0.0180.0280.3570.044-0.1460.1330.0000.0000.3220.600-0.3460.2350.377-0.0830.5700.3520.139-0.140-0.1400.5730.5570.559-0.110-0.140-0.139-0.259-0.014-0.140-0.1400.139-0.140-0.140-0.1401.000
Grid Production VoltagePhase2 Avg. [V]0.192-0.192-0.1920.0030.000-0.236-0.019-0.0260.5330.5330.4980.437-0.192-0.010-0.092-0.114-0.0470.197-0.196-0.2170.0100.3900.0310.4360.0150.0010.5240.5230.5300.5290.5150.5230.239-0.192-0.1920.4900.4990.3730.5140.5130.5120.5340.5280.527-0.0880.1290.3270.4580.2950.5280.5280.5290.8180.5370.5360.5200.4240.5380.5330.5100.4180.1800.284-0.0080.0490.9831.0000.8970.4950.4950.490-0.192-0.1920.3250.4380.4410.442-0.003-0.0010.574-0.4070.0070.0080.004-0.0050.0170.3120.040-0.1330.0980.0000.0000.2750.583-0.3730.1920.370-0.0800.5380.3210.191-0.192-0.1920.5400.5280.527-0.108-0.192-0.192-0.266-0.003-0.192-0.1920.191-0.192-0.192-0.1921.000
Grid Production VoltagePhase3 Avg. [V]0.146-0.146-0.1460.0290.000-0.220-0.029-0.0270.7180.7170.6700.595-0.146-0.017-0.051-0.0920.0010.329-0.164-0.1820.1050.5820.1610.637-0.016-0.0010.7260.7260.7290.7290.6790.7220.372-0.146-0.1460.6930.7000.5540.7210.7180.7170.7290.7210.713-0.1630.2580.5240.6680.3830.7260.7270.7280.8160.7230.7220.6970.5450.7330.7250.6960.5370.2420.393-0.0240.0890.8970.8971.0000.7050.7040.699-0.146-0.1460.4540.6550.6560.663-0.0350.0310.806-0.5840.0190.0080.036-0.0180.0290.4050.058-0.2130.2420.0000.0000.3590.831-0.5570.2570.510-0.0920.7330.4440.145-0.145-0.1460.7330.7200.714-0.189-0.146-0.148-0.257-0.035-0.146-0.1460.145-0.146-0.146-0.1461.000
Grid RotorInvPhase1 Temp. Avg. [°C]-0.0240.0250.0250.1200.000-0.080-0.0180.0370.8950.8780.8420.7090.025-0.008-0.272-0.327-0.2180.429-0.010-0.0320.2590.8580.4150.959-0.0830.0020.9500.9470.9380.9350.8320.9400.6260.0250.0250.9490.9450.8930.9670.9630.9590.9190.9090.8640.0390.4340.8040.9810.6710.9260.9270.9260.0000.8930.8920.8110.7160.9250.9140.8490.7060.4850.4820.196-0.1250.5310.4950.7051.0000.9930.9940.0250.0250.5810.8870.8840.899-0.1060.1170.828-0.3750.0770.0060.106-0.0800.0610.7040.113-0.2720.4550.0000.0000.6490.869-0.2970.5080.545-0.1210.9250.617-0.0250.0240.0230.9150.9090.8660.0060.0250.017-0.155-0.1050.0250.025-0.0250.0250.0250.0251.000
Grid RotorInvPhase2 Temp. Avg. [°C]-0.0260.0270.0260.1260.000-0.077-0.0170.0360.8900.8720.8370.7040.027-0.007-0.267-0.320-0.2130.425-0.007-0.0290.2600.8530.4170.962-0.0850.0020.9460.9440.9340.9320.8300.9370.6290.0270.0260.9470.9430.8990.9640.9600.9570.9150.9050.8600.0390.4350.8040.9790.6620.9210.9220.9210.0110.8880.8860.8070.7110.9200.9090.8440.7020.4760.4820.186-0.1150.5310.4950.7040.9931.0000.9930.0270.0270.5800.8870.8840.898-0.1090.1190.829-0.3820.0790.0060.109-0.0810.0640.6950.112-0.2720.4580.0000.0000.6410.868-0.3050.4980.545-0.1180.9200.611-0.0270.0260.0250.9110.9050.8620.0060.0270.020-0.151-0.1090.0270.027-0.0270.0270.0270.0271.000
Grid RotorInvPhase3 Temp. Avg. [°C]-0.0320.0330.0330.1270.000-0.069-0.0170.0380.8800.8620.8270.6970.033-0.007-0.259-0.311-0.2050.420-0.001-0.0220.2640.8470.4210.965-0.0860.0030.9380.9360.9260.9240.8220.9290.6310.0330.0330.9420.9370.9070.9590.9550.9510.9050.8960.8510.0390.4360.8030.9770.6490.9110.9120.9120.0100.8780.8760.7980.7020.9100.8990.8350.6930.4640.4780.174-0.1030.5260.4900.6990.9940.9931.0000.0330.0330.5760.8850.8820.896-0.1120.1190.825-0.3870.0790.0060.112-0.0820.0680.6830.110-0.2710.4620.0000.0000.6280.863-0.3110.4860.542-0.1160.9100.603-0.0330.0320.0320.9020.8960.8530.0070.0330.026-0.142-0.1110.0330.033-0.0330.0330.0330.0331.000
Grid ok hours [h]-1.0001.0001.0000.0650.0000.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.090-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0000.000-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Grid on hours [h]-1.0001.0001.0000.0650.0000.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.090-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0000.000-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
HVTrafo AirOutlet Temp. Avg. [°C]0.067-0.066-0.0670.0150.000-0.132-0.066-0.0050.5070.4970.4750.413-0.066-0.051-0.029-0.079-0.0100.277-0.099-0.0680.3880.6030.2990.580-0.1200.0140.5720.5630.5610.5570.4380.5670.377-0.066-0.0670.6040.6050.5270.5830.5830.5820.5380.5300.492-0.0310.6530.6620.5740.3200.5330.5330.5320.0070.5060.5140.4760.3990.5450.5410.5100.3850.2160.2610.072-0.0080.3410.3250.4540.5810.5800.576-0.066-0.0661.0000.6630.6630.660-0.0770.1010.490-0.295-0.002-0.0100.0770.003-0.0350.3450.054-0.2690.4680.0000.0000.3100.545-0.2520.2340.373-0.0800.5450.3570.067-0.066-0.0700.5270.5290.496-0.048-0.066-0.081-0.099-0.076-0.066-0.0660.067-0.066-0.066-0.0661.000
HVTrafo Phase1 Temp. Avg. [°C]-0.1290.1300.1290.1180.0000.015-0.0360.0510.8010.7930.7410.6810.130-0.026-0.097-0.166-0.0420.4150.0810.0560.4000.8650.5210.8720.0060.0110.8530.8520.8320.8240.7010.8460.5740.1300.1290.9080.8920.8240.8960.8960.8950.7960.8050.7300.0100.5370.8720.8760.4980.8120.8140.8120.0000.8030.8070.7320.6100.7990.8000.7350.6000.3220.4230.0600.0060.4710.4380.6550.8870.8870.8850.1300.1300.6631.0000.9940.994-0.0100.0190.764-0.4500.0480.0020.011-0.0490.0290.5310.133-0.3240.6050.0000.0000.4570.818-0.3880.3450.519-0.1040.7990.507-0.1290.1290.1270.7890.8040.733-0.0210.1300.121-0.059-0.0100.1300.130-0.1290.1300.1300.1301.000
HVTrafo Phase2 Temp. Avg. [°C]-0.1180.1190.1190.1200.000-0.002-0.0270.0470.8000.7940.7380.6830.119-0.017-0.105-0.177-0.0480.4170.0690.0370.3680.8650.5060.8680.0080.0100.8510.8500.8320.8230.7080.8450.5750.1190.1190.9050.8900.8170.8950.8950.8940.7950.8040.7320.0090.5150.8560.8720.5000.8090.8110.8090.0010.8010.8060.7280.6210.7980.8000.7310.6110.3280.4260.0640.0020.4730.4410.6560.8840.8840.8820.1190.1190.6630.9941.0000.993-0.0090.0180.765-0.4480.0470.0030.009-0.0470.0280.5330.138-0.3170.5820.0000.0000.4610.816-0.3870.3500.515-0.1010.7980.508-0.1190.1190.1160.7900.8030.736-0.0230.1190.110-0.077-0.0080.1190.119-0.1190.1190.1190.1191.000
HVTrafo Phase3 Temp. Avg. [°C]-0.1200.1210.1210.1220.000-0.002-0.0250.0470.8140.8070.7530.6900.121-0.014-0.119-0.188-0.0650.4340.0730.0460.3800.8780.5160.8790.0010.0100.8680.8670.8480.8410.7190.8610.5900.1210.1210.9170.9030.8260.9090.9090.9080.8120.8190.7490.0050.5260.8700.8880.5230.8270.8280.8270.0000.8150.8190.7390.6250.8150.8150.7480.6160.3540.4390.086-0.0210.4760.4420.6630.8990.8980.8960.1210.1210.6600.9940.9931.000-0.0190.0280.772-0.4300.0540.0050.019-0.0550.0350.5550.142-0.3210.5890.0000.0000.4900.826-0.3760.3790.521-0.1030.8150.529-0.1210.1200.1190.8060.8180.752-0.0270.1210.112-0.075-0.0180.1210.121-0.1210.1210.1210.1211.000
HourCounters Average AlarmActive Avg. [h]-0.0190.0190.019-0.3260.0000.010-0.063-0.0170.0900.0940.0820.1080.019-0.0660.2040.2020.207-0.061-0.022-0.0380.051-0.081-0.001-0.0810.7650.135-0.132-0.130-0.133-0.152-0.162-0.130-0.1440.0190.019-0.080-0.101-0.101-0.091-0.089-0.088-0.164-0.122-0.182-0.0120.014-0.007-0.103-0.153-0.140-0.139-0.1400.0620.0910.0710.084-0.097-0.134-0.118-0.139-0.118-0.105-0.044-0.0870.098-0.014-0.003-0.035-0.106-0.109-0.1120.0190.019-0.077-0.010-0.009-0.0191.000-0.932-0.084-0.100-0.461-0.075-0.9960.461-0.552-0.1530.000-0.060-0.0050.0000.000-0.224-0.069-0.093-0.104-0.049-0.015-0.133-0.081-0.0190.0180.019-0.167-0.123-0.183-0.0100.0190.020-0.0111.0000.0190.019-0.0190.0190.0190.0191.000
HourCounters Average AmbientOk Avg. [h]0.010-0.010-0.0100.3470.0580.0070.0560.035-0.100-0.107-0.091-0.121-0.0100.053-0.191-0.191-0.1930.0580.0360.056-0.0330.0760.0170.103-0.816-0.0420.1270.1260.1280.1460.1550.1250.132-0.010-0.0100.0740.0930.1070.0880.0850.0820.1550.1140.1700.0040.0070.0230.1170.1460.1300.1290.1310.065-0.101-0.078-0.0940.1010.1300.1140.1350.1100.1350.0540.103-0.1100.010-0.0010.0310.1170.1190.119-0.010-0.0100.1010.0190.0180.028-0.9321.0000.0800.0950.5020.1430.937-0.4960.4220.161-0.0100.0560.0250.0580.0580.2160.0660.0880.1340.0500.0130.1300.1050.010-0.010-0.0090.1570.1150.1710.002-0.010-0.0150.029-0.931-0.010-0.0100.010-0.010-0.010-0.0101.000
HourCounters Average Gen1 Avg. [h]0.085-0.084-0.0840.0630.000-0.207-0.031-0.0010.8260.8190.7670.657-0.084-0.019-0.213-0.228-0.1270.293-0.141-0.1700.1100.6660.2220.757-0.059-0.0060.8570.8570.8580.8580.8420.8570.470-0.084-0.0840.8290.8400.6970.8530.8510.8500.8510.8440.827-0.0150.2880.6110.7710.4970.8490.8530.8530.0000.8300.8310.7920.6770.8520.8460.7960.6680.3070.531-0.0900.1600.5850.5740.8060.8280.8290.825-0.084-0.0840.4900.7640.7650.772-0.0840.0801.000-0.7140.0480.0110.085-0.0470.0570.5330.064-0.2220.2700.0000.0000.4530.954-0.6480.3160.600-0.1000.8520.5380.084-0.083-0.0850.8570.8440.829-0.039-0.084-0.090-0.265-0.084-0.084-0.0840.084-0.084-0.084-0.0841.000
HourCounters Average Gen2 Avg. [h]-0.0560.0560.0560.0640.0000.0880.0900.025-0.381-0.390-0.345-0.3460.0560.080-0.300-0.316-0.3600.0290.0880.092-0.141-0.231-0.096-0.368-0.079-0.008-0.372-0.377-0.373-0.367-0.349-0.378-0.1340.0560.056-0.378-0.375-0.349-0.385-0.385-0.386-0.355-0.368-0.3380.157-0.228-0.315-0.3120.135-0.356-0.361-0.3590.000-0.393-0.392-0.477-0.203-0.361-0.364-0.386-0.1930.300-0.1930.558-0.621-0.381-0.407-0.584-0.375-0.382-0.3870.0560.056-0.295-0.450-0.448-0.430-0.1000.095-0.7141.0000.0460.0080.100-0.0480.0560.0950.0770.185-0.2190.0000.0000.262-0.6810.9370.297-0.4200.070-0.361-0.067-0.0560.0560.056-0.359-0.367-0.3390.1610.0560.0600.079-0.1000.0560.056-0.0550.0560.0560.0561.000
HourCounters Average GridOk Avg. [h]-0.0140.0140.0140.2470.118-0.0210.0000.0250.0530.0430.0600.0190.0140.008-0.093-0.092-0.0950.0180.0090.017-0.0130.0720.0110.067-0.002-0.0280.0830.0830.0810.0850.0840.0810.0920.0140.0140.0750.0780.0750.0770.0760.0760.0870.0840.0900.0590.0210.0370.0770.0800.0810.0780.0800.1330.0470.0390.0480.0230.0750.0740.0620.0740.0290.0110.016-0.0320.0190.0070.0190.0770.0790.0790.0140.014-0.0020.0480.0470.054-0.4610.5020.0480.0461.0000.2830.475-0.9770.8340.0610.0450.0310.0030.1180.1180.0990.0450.0420.0290.0260.0090.0750.025-0.0140.0140.0140.0890.0840.0910.0500.0140.013-0.022-0.4630.0140.014-0.0140.0140.0140.0141.000
HourCounters Average GridOn Avg. [h]0.004-0.004-0.0040.1521.000-0.0150.011-0.0080.0080.0070.019-0.006-0.0040.011-0.014-0.007-0.016-0.009-0.009-0.006-0.0120.005-0.0090.0010.0020.0000.0100.0100.0100.0100.0130.0100.012-0.004-0.0040.0100.0100.0060.0080.0080.0090.0140.0110.0200.002-0.004-0.0030.0050.0090.0110.0100.0110.0000.0070.0080.013-0.0000.0090.0070.0120.006-0.006-0.002-0.009-0.0020.0100.0080.0080.0060.0060.006-0.004-0.004-0.0100.0020.0030.005-0.0750.1430.0110.0080.2831.0000.134-0.1650.2390.0200.0070.004-0.0101.0001.0000.0160.0090.003-0.0100.0030.0030.010-0.0060.004-0.004-0.0040.0140.0110.020-0.001-0.004-0.005-0.012-0.077-0.004-0.0040.004-0.004-0.004-0.0041.000
HourCounters Average Run Avg. [h]0.019-0.019-0.0190.3290.054-0.0110.0630.016-0.089-0.093-0.082-0.108-0.0190.067-0.204-0.201-0.2060.0610.0210.038-0.0500.0810.0010.081-0.762-0.1350.1310.1300.1330.1520.1610.1300.144-0.019-0.0190.0800.1010.1010.0910.0890.0880.1640.1220.1820.012-0.0130.0070.1030.1520.1390.1390.1400.061-0.090-0.070-0.0830.0960.1330.1180.1390.1180.1030.0450.085-0.0970.0150.0040.0360.1060.1090.112-0.019-0.0190.0770.0110.0090.019-0.9960.9370.0850.1000.4750.1341.000-0.4650.5640.1530.0000.0590.0050.0540.0540.2230.0690.0920.1030.0490.0150.1330.0800.019-0.018-0.0190.1660.1230.1830.009-0.019-0.0200.010-0.996-0.019-0.0190.019-0.019-0.019-0.0191.000
HourCounters Average ServiceOn Avg. [h]0.016-0.016-0.016-0.2441.0000.0190.002-0.027-0.054-0.044-0.060-0.021-0.016-0.0060.0960.0940.096-0.020-0.012-0.0190.013-0.076-0.014-0.070-0.005-0.001-0.086-0.086-0.084-0.087-0.086-0.083-0.095-0.016-0.016-0.077-0.080-0.077-0.079-0.078-0.078-0.089-0.086-0.090-0.065-0.022-0.038-0.080-0.083-0.083-0.080-0.0830.135-0.049-0.040-0.048-0.025-0.078-0.076-0.062-0.078-0.031-0.012-0.0190.032-0.018-0.005-0.018-0.080-0.081-0.082-0.016-0.0160.003-0.049-0.047-0.0550.461-0.496-0.047-0.048-0.977-0.165-0.4651.000-0.824-0.061-0.044-0.035-0.0031.0001.000-0.101-0.045-0.045-0.031-0.027-0.006-0.077-0.0260.016-0.016-0.016-0.091-0.087-0.090-0.056-0.016-0.0150.0200.463-0.016-0.0160.016-0.016-0.016-0.0161.000
HourCounters Average TurbineOk Avg. [h]0.005-0.006-0.0050.2070.098-0.0500.018-0.0090.0570.0520.0600.031-0.0050.035-0.113-0.112-0.1140.037-0.015-0.015-0.0450.079-0.0190.0300.018-0.1440.0910.0920.0900.0960.0960.0900.112-0.006-0.0050.0820.0890.0620.0800.0820.0830.1050.1010.1080.073-0.0140.0050.0550.0940.1010.0980.1010.1100.0510.0420.0510.0240.0860.0850.0670.094-0.0160.005-0.015-0.0070.0280.0170.0290.0610.0640.068-0.005-0.005-0.0350.0290.0280.035-0.5520.4220.0570.0560.8340.2390.564-0.8241.0000.0560.0570.041-0.0320.0980.0980.1120.0530.050-0.0180.0310.0120.086-0.0120.005-0.004-0.0060.1060.1010.1080.063-0.005-0.000-0.051-0.556-0.005-0.0050.005-0.005-0.005-0.0051.000
HourCounters Average WindOk Avg. [h]0.053-0.053-0.0530.1190.068-0.1780.0710.0230.7330.7070.7100.505-0.0530.072-0.678-0.709-0.6420.226-0.099-0.146-0.0020.6590.1820.616-0.1470.0020.7620.7430.7700.7510.7550.7540.444-0.053-0.0530.7030.7200.5490.7280.7260.7240.7660.7300.7340.2100.1320.4760.7140.9390.7740.7740.7740.0030.7310.7110.6490.6920.7760.7480.7160.6780.6390.3210.517-0.5160.3570.3120.4050.7040.6950.683-0.053-0.0530.3450.5310.5330.555-0.1530.1610.5330.0950.0610.0200.153-0.0610.0561.0000.070-0.0950.1170.0680.0680.8820.5100.1950.6570.326-0.1720.7760.5530.053-0.052-0.0530.7640.7320.7360.186-0.053-0.056-0.279-0.152-0.053-0.0530.053-0.053-0.053-0.0531.000
HourCounters Average Yaw Avg. [h]0.015-0.014-0.0150.0400.000-0.102-0.0190.0880.1070.187-0.0200.375-0.014-0.0240.013-0.1670.1140.423-0.019-0.025-0.0470.1550.0230.0980.025-0.0020.1120.1200.1040.1020.0620.1120.094-0.014-0.0150.1290.1320.0880.1340.1350.1370.1040.203-0.0060.3090.0030.0900.1230.0630.1210.1240.1210.0000.1110.192-0.0680.3190.1050.190-0.0600.3280.1700.413-0.1580.1450.0440.0400.0580.1130.1120.110-0.014-0.0140.0540.1330.1380.1420.000-0.0100.0640.0770.0450.0070.000-0.0440.0570.0701.000-0.0620.0320.0000.0000.0950.0800.0680.1630.1470.1050.1050.2170.015-0.014-0.0140.0930.2010.0020.289-0.014-0.017-0.0500.000-0.014-0.0140.015-0.014-0.015-0.0141.000
Hydraulic Oil Temp. Avg. [°C]0.076-0.076-0.0760.0240.000-0.032-0.013-0.020-0.247-0.250-0.223-0.243-0.076-0.031-0.104-0.051-0.115-0.180-0.058-0.062-0.243-0.275-0.219-0.275-0.046-0.002-0.248-0.246-0.238-0.232-0.156-0.241-0.162-0.076-0.076-0.264-0.255-0.246-0.261-0.260-0.258-0.227-0.239-0.1990.054-0.264-0.335-0.275-0.084-0.235-0.235-0.2340.234-0.246-0.253-0.227-0.165-0.231-0.236-0.207-0.155-0.037-0.1090.018-0.049-0.146-0.133-0.213-0.272-0.272-0.271-0.076-0.076-0.269-0.324-0.317-0.321-0.0600.056-0.2220.1850.0310.0040.059-0.0350.041-0.095-0.0621.000-0.2770.0000.000-0.066-0.2710.178-0.048-0.1830.029-0.231-0.1350.077-0.077-0.076-0.221-0.237-0.2010.063-0.076-0.076-0.032-0.060-0.076-0.0760.077-0.076-0.076-0.0761.000
Nacelle Temp. Avg. [°C]-0.5810.5800.5810.0750.0000.6680.0770.1310.2960.2760.2840.2370.5810.0850.1610.1230.1540.2190.6560.7000.8720.4620.8260.533-0.0300.0170.3630.3530.3230.3240.1680.3340.4290.5800.5810.4250.4120.5620.3880.3820.3750.2910.2990.240-0.0690.8080.8290.4700.0960.3020.3050.3010.0000.2860.2840.2640.1260.2820.2760.2690.1170.0390.113-0.0080.0640.1330.0980.2420.4550.4580.4620.5810.5810.4680.6050.5820.589-0.0050.0250.270-0.2190.003-0.0100.005-0.003-0.0320.1170.032-0.2771.0000.0000.0000.0750.344-0.2180.0570.237-0.0500.2820.171-0.5810.5760.5780.2760.3000.240-0.0730.5810.5770.649-0.0050.5810.581-0.5810.5810.5810.5811.000
Power factor set point0.0000.0050.0050.4470.5000.0000.0170.0000.0000.0000.0000.0000.0010.0130.0910.0990.0850.0000.0000.0000.0000.0080.0000.0000.0000.0000.0160.0170.0140.0220.0210.0170.0340.0090.0000.0050.0200.0000.0000.0000.0000.0070.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0580.0000.0000.1181.0000.0541.0000.0980.0680.0000.0000.0001.0000.5000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0070.0110.0000.0000.0010.0000.0000.0000.0050.0010.0000.0000.0050.0001.000
Power factor set point source0.0000.0050.0050.4470.5000.0000.0170.0000.0000.0000.0000.0000.0010.0130.0910.0990.0850.0000.0000.0000.0000.0080.0000.0000.0000.0000.0160.0170.0140.0220.0210.0170.0340.0090.0000.0050.0200.0000.0000.0000.0000.0070.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0630.0080.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0580.0000.0000.1181.0000.0541.0000.0980.0680.0000.0000.0000.5001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0080.0000.0070.0110.0000.0000.0010.0000.0000.0000.0050.0010.0000.0000.0050.0001.000
Production LatestAverage Active Power Gen 0 Avg. [W]0.069-0.068-0.0690.1360.000-0.1880.0760.0230.6500.6200.6360.425-0.0690.080-0.679-0.695-0.6770.271-0.106-0.139-0.0330.6130.1590.560-0.178-0.0240.6960.6830.6990.7000.7030.6880.442-0.068-0.0690.6420.6620.4950.6680.6660.6640.7070.6560.7130.1010.0840.4200.6560.9090.7000.6960.7000.0000.6430.6220.5370.6340.7110.6760.6620.6270.7300.3010.664-0.6730.3220.2750.3590.6490.6410.628-0.069-0.0690.3100.4570.4610.490-0.2240.2160.4530.2620.0990.0160.223-0.1010.1120.8820.095-0.0660.0750.0000.0001.0000.4310.2840.7540.277-0.1630.7110.5820.069-0.067-0.0690.7090.6580.7150.079-0.069-0.070-0.276-0.223-0.069-0.0690.069-0.069-0.069-0.0691.000
Production LatestAverage Active Power Gen 1 Avg. [W]0.104-0.104-0.1040.0580.000-0.223-0.052-0.0250.8720.8670.8130.723-0.104-0.039-0.039-0.0910.0280.423-0.158-0.1730.1700.7430.2630.788-0.044-0.0020.8940.8960.8920.8900.7770.8900.477-0.104-0.1040.8620.8670.6940.8900.8880.8880.8840.8870.830-0.0740.3620.6720.8270.4760.8950.8970.8970.0000.8770.8770.8350.6390.8970.8900.8340.6300.2930.502-0.0670.1500.6000.5830.8310.8690.8680.863-0.104-0.1040.5450.8180.8160.826-0.0690.0660.954-0.6810.0450.0090.069-0.0450.0530.5100.080-0.2710.3440.0000.0000.4311.000-0.6190.3010.633-0.0960.8970.5520.103-0.102-0.1040.8810.8860.832-0.102-0.104-0.109-0.269-0.068-0.104-0.1040.103-0.104-0.104-0.1041.000
Production LatestAverage Active Power Gen 2 Avg. [W]-0.0440.0440.0440.0600.0000.0580.0820.042-0.275-0.281-0.258-0.2530.0440.071-0.380-0.408-0.396-0.0060.0670.054-0.149-0.171-0.093-0.302-0.075-0.005-0.274-0.281-0.270-0.274-0.246-0.280-0.1020.0440.044-0.294-0.287-0.286-0.302-0.302-0.302-0.252-0.259-0.2750.278-0.215-0.265-0.2450.214-0.250-0.255-0.2540.000-0.283-0.281-0.386-0.092-0.252-0.254-0.322-0.0780.338-0.1640.505-0.561-0.346-0.373-0.557-0.297-0.305-0.3110.0440.044-0.252-0.388-0.387-0.376-0.0930.088-0.6480.9370.0420.0030.092-0.0450.0500.1950.0680.178-0.2180.0000.0000.284-0.6191.0000.312-0.3620.061-0.252-0.013-0.0440.0440.045-0.256-0.258-0.2740.2800.0440.0480.038-0.0930.0440.044-0.0440.0440.0440.0441.000
Production LatestAverage Reactive Power Gen 0 Avg. [var]0.040-0.039-0.0390.0860.000-0.1400.0500.0160.4950.4820.4650.362-0.0390.052-0.554-0.582-0.5430.363-0.066-0.092-0.0310.4740.1520.442-0.130-0.0000.5290.5340.5290.5460.5480.5230.359-0.039-0.0390.4950.5110.3780.5180.5140.5110.5460.5080.5420.0170.0570.3370.5150.6560.5270.5250.5270.0000.4860.4970.3360.5270.5420.5300.4460.5150.9460.4650.538-0.4840.2350.1920.2570.5080.4980.486-0.039-0.0390.2340.3450.3500.379-0.1040.1340.3160.2970.029-0.0100.103-0.031-0.0180.6570.163-0.0480.0570.0000.0000.7540.3010.3121.0000.1950.0290.5420.7650.040-0.038-0.0400.5520.5090.543-0.016-0.039-0.043-0.208-0.104-0.039-0.0390.040-0.039-0.039-0.0391.000
Production LatestAverage Reactive Power Gen 1 Avg. [var]0.083-0.083-0.0830.0350.000-0.170-0.044-0.0080.5530.5670.4930.527-0.083-0.0340.030-0.0470.0890.352-0.127-0.1300.1180.4790.1650.489-0.038-0.0130.5640.5650.5590.5560.4380.5600.292-0.083-0.0830.5450.5490.4260.5630.5630.5630.5500.5900.4790.0850.2400.4340.5060.3050.5720.5730.5730.0000.5600.5800.5070.4670.5740.5870.4940.4620.2230.430-0.1230.1900.3770.3700.5100.5450.5450.542-0.083-0.0830.3730.5190.5150.521-0.0490.0500.600-0.4200.0260.0030.049-0.0270.0310.3260.147-0.1830.2370.0000.0000.2770.633-0.3620.1951.000-0.0850.5730.7010.082-0.081-0.0830.5340.5890.4810.070-0.083-0.088-0.186-0.049-0.083-0.0830.082-0.083-0.083-0.0831.000
Production LatestAverage Reactive Power Gen 2 Avg. [var]-0.0010.0010.0010.0100.0000.008-0.016-0.006-0.138-0.124-0.169-0.0550.001-0.0180.0920.0560.1560.2070.0100.016-0.045-0.131-0.039-0.104-0.016-0.019-0.134-0.124-0.137-0.127-0.124-0.132-0.0350.0010.001-0.119-0.120-0.083-0.124-0.123-0.123-0.127-0.082-0.1690.108-0.044-0.103-0.118-0.212-0.131-0.127-0.1310.000-0.142-0.099-0.235-0.055-0.134-0.096-0.236-0.0500.1070.241-0.1770.231-0.083-0.080-0.092-0.121-0.118-0.1160.0010.001-0.080-0.104-0.101-0.103-0.0150.013-0.1000.0700.0090.0030.015-0.0060.012-0.1720.1050.029-0.0500.0000.000-0.163-0.0960.0610.029-0.0851.000-0.1340.144-0.0010.0030.002-0.126-0.083-0.1690.1020.0010.0010.033-0.0150.0010.001-0.0010.0010.0010.0011.000
Production LatestAverage Total Active Power Avg. [W]0.117-0.117-0.1170.0970.000-0.259-0.014-0.0000.9550.9400.9000.753-0.117-0.004-0.341-0.391-0.2780.422-0.171-0.2050.1070.8260.2560.820-0.097-0.0040.9790.9750.9820.9740.8810.9710.544-0.117-0.1170.9210.9340.7160.9500.9480.9470.9840.9750.9200.0870.3130.6820.8940.7450.9920.9920.9930.0000.9560.9520.8730.7711.0000.9850.9140.7620.5210.5010.227-0.1570.5700.5380.7330.9250.9200.910-0.117-0.1170.5450.7990.7980.815-0.1330.1300.852-0.3610.0750.0100.133-0.0770.0860.7760.105-0.2310.2820.0000.0000.7110.897-0.2520.5420.573-0.1341.0000.6450.116-0.114-0.1170.9790.9750.9230.054-0.117-0.121-0.328-0.133-0.117-0.1170.116-0.117-0.117-0.1171.000
Production LatestAverage Total Reactive Power Avg. [var]0.075-0.074-0.0750.0670.000-0.190-0.0060.0050.6040.6110.5310.541-0.0750.001-0.285-0.366-0.2140.495-0.119-0.1340.0450.5490.1870.550-0.100-0.0000.6350.6430.6300.6420.5680.6310.383-0.074-0.0750.6090.6210.4770.6340.6320.6300.6340.6430.5640.0770.1700.4500.5990.5300.6320.6330.6340.0000.6030.6330.4440.5950.6440.6540.4970.5860.7920.6260.182-0.0910.3520.3210.4440.6170.6110.603-0.075-0.0750.3570.5070.5080.529-0.0810.1050.538-0.0670.025-0.0060.080-0.026-0.0120.5530.217-0.1350.1710.0000.0000.5820.552-0.0130.7650.7010.1440.6451.0000.074-0.072-0.0750.6280.6420.5660.046-0.075-0.080-0.233-0.081-0.075-0.0750.074-0.075-0.075-0.0751.000
Reactive power generator 0,Total accumulated [var]1.000-1.000-1.000-0.0650.000-0.780-0.205-0.2070.0760.1030.0570.116-1.000-0.2030.008-0.0040.0110.062-0.784-0.810-0.573-0.003-0.781-0.095-0.019-0.0090.0450.0530.0680.0680.0550.066-0.201-1.000-1.0000.0060.011-0.2050.0400.0460.0510.0820.0900.0770.004-0.379-0.362-0.0390.0550.0890.0870.0900.0150.0960.0980.1130.0740.1160.1180.1130.0750.0420.078-0.0250.0200.1390.1910.145-0.025-0.027-0.033-1.000-1.0000.067-0.129-0.119-0.121-0.0190.0100.084-0.056-0.0140.0040.0190.0160.0050.0530.0150.077-0.5810.0000.0000.0690.103-0.0440.0400.082-0.0010.1160.0741.000-0.998-0.9990.0790.0890.078-0.002-1.000-0.988-0.729-0.019-1.000-1.0001.000-1.000-1.000-1.0001.000
Reactive power generator 1, Total accumulated [var]-0.9980.9980.9980.0670.0080.7720.2020.204-0.075-0.101-0.056-0.1130.9980.200-0.0090.003-0.011-0.0600.7770.8030.5670.0060.7790.0920.0190.009-0.043-0.052-0.066-0.067-0.054-0.0640.1980.9980.998-0.005-0.0100.202-0.039-0.044-0.050-0.080-0.089-0.075-0.0040.3730.3580.038-0.054-0.087-0.086-0.0890.023-0.094-0.096-0.112-0.072-0.115-0.116-0.111-0.073-0.040-0.0770.026-0.021-0.140-0.192-0.1450.0240.0260.0320.9980.998-0.0660.1290.1190.1200.018-0.010-0.0830.0560.014-0.004-0.018-0.016-0.004-0.052-0.014-0.0770.5760.0080.008-0.067-0.1020.044-0.038-0.0810.003-0.114-0.072-0.9981.0000.998-0.077-0.087-0.0770.0020.9980.9860.7210.0180.9980.998-0.9980.9980.9980.9981.000
Reactive power generator 2, Total accumulated [var]-0.9990.9990.9990.0650.0000.7790.2040.207-0.078-0.104-0.058-0.1160.9990.203-0.0090.003-0.011-0.0620.7830.8080.5700.0010.7780.0930.0180.010-0.046-0.054-0.069-0.069-0.055-0.0670.1990.9990.999-0.008-0.0130.202-0.041-0.047-0.052-0.082-0.091-0.077-0.0030.3760.3590.037-0.056-0.090-0.088-0.0910.019-0.096-0.099-0.114-0.073-0.117-0.119-0.114-0.074-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0230.0250.0320.9990.999-0.0700.1270.1160.1190.019-0.009-0.0850.0560.014-0.004-0.019-0.016-0.006-0.053-0.014-0.0760.5780.0000.000-0.069-0.1040.045-0.040-0.0830.002-0.117-0.075-0.9990.9981.000-0.080-0.089-0.0790.0030.9990.9880.7270.0190.9990.999-0.9990.9990.9990.9991.000
Rotor RPM Avg. [RPM]0.080-0.079-0.0800.1170.007-0.2260.0140.0150.9420.9190.8980.709-0.0800.023-0.396-0.431-0.3300.385-0.135-0.1760.1010.8030.2680.813-0.121-0.0140.9720.9690.9770.9750.9210.9650.562-0.079-0.0800.9140.9290.7210.9380.9350.9340.9930.9610.9540.0540.3040.6770.8770.7290.9800.9800.9800.0150.9360.9310.8550.7730.9790.9620.9040.7640.5310.4790.251-0.1770.5730.5400.7330.9150.9110.902-0.080-0.0800.5270.7890.7900.806-0.1670.1570.857-0.3590.0890.0140.166-0.0910.1060.7640.093-0.2210.2760.0070.0070.7090.881-0.2560.5520.534-0.1260.9790.6280.079-0.077-0.0801.0000.9610.9570.018-0.080-0.083-0.307-0.166-0.079-0.0800.079-0.080-0.079-0.0791.000
Rotor RPM Max. [RPM]0.089-0.089-0.0890.1100.011-0.238-0.0130.0180.9390.9450.8540.808-0.089-0.002-0.316-0.407-0.2150.503-0.139-0.1750.1170.8130.2700.809-0.076-0.0030.9620.9610.9620.9550.8660.9540.554-0.089-0.0890.9110.9240.7170.9370.9340.9340.9680.9990.8730.2080.3260.6860.8730.6900.9770.9780.9770.0190.9390.9590.8140.8130.9750.9880.8450.8100.4980.5830.136-0.0620.5570.5280.7200.9090.9050.896-0.089-0.0890.5290.8040.8030.818-0.1230.1150.844-0.3670.0840.0110.123-0.0870.1010.7320.201-0.2370.3000.0110.0110.6580.886-0.2580.5090.589-0.0830.9750.6420.089-0.087-0.0890.9611.0000.8770.171-0.089-0.094-0.298-0.122-0.089-0.0890.088-0.089-0.089-0.0891.000
Rotor RPM Min. [RPM]0.079-0.079-0.0790.1170.000-0.2100.0420.0030.8900.8410.9010.564-0.0790.050-0.429-0.405-0.4180.268-0.134-0.1720.0810.7480.2460.766-0.136-0.0260.9190.9140.9260.9300.9040.9120.538-0.079-0.0790.8610.8760.6760.8840.8800.8790.9450.8770.998-0.1040.2700.6290.8260.7090.9220.9210.9230.0100.8770.8510.8620.6830.9230.8840.9260.6720.5000.3730.349-0.2790.5590.5270.7140.8660.8620.853-0.079-0.0790.4960.7330.7360.752-0.1830.1710.829-0.3390.0910.0200.183-0.0900.1080.7360.002-0.2010.2400.0000.0000.7150.832-0.2740.5430.481-0.1690.9230.5660.078-0.077-0.0790.9570.8771.000-0.138-0.079-0.081-0.306-0.183-0.079-0.0790.078-0.079-0.079-0.0791.000
Rotor RPM StdDev [RPM]-0.0020.0030.0020.0530.000-0.043-0.0350.0940.0540.115-0.0750.2670.002-0.037-0.304-0.382-0.1230.1530.004-0.026-0.0760.012-0.0420.0110.0290.0130.0470.0470.0450.0240.0620.0480.0750.0030.0020.0420.0540.0570.0340.0360.0390.0390.170-0.1420.986-0.028-0.020-0.0110.1250.0650.0700.0650.0000.0600.124-0.1140.2800.0550.128-0.1420.2900.0290.383-0.2280.203-0.110-0.108-0.1890.0060.0060.0070.0020.002-0.048-0.021-0.023-0.027-0.0100.002-0.0390.1610.050-0.0010.009-0.0560.0630.1860.2890.063-0.0730.0000.0000.079-0.1020.280-0.0160.0700.1020.0540.046-0.0020.0020.0030.0180.171-0.1381.0000.002-0.003-0.025-0.0090.0020.002-0.0020.0020.0020.0021.000
Run hours [h]-1.0001.0001.0000.0650.0010.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5730.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0010.001-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Service hours [h]-0.9880.9880.9880.0640.0000.7830.2200.205-0.079-0.107-0.057-0.1200.9880.219-0.0070.003-0.012-0.0650.7890.8080.569-0.0030.7780.0850.0250.007-0.050-0.059-0.073-0.073-0.058-0.0710.1960.9880.988-0.013-0.0180.196-0.047-0.052-0.058-0.085-0.095-0.079-0.0090.3710.3520.032-0.057-0.094-0.092-0.0950.378-0.099-0.102-0.115-0.075-0.121-0.123-0.116-0.076-0.045-0.0870.029-0.025-0.139-0.192-0.1480.0170.0200.0260.9880.988-0.0810.1210.1100.1120.020-0.015-0.0900.0600.013-0.005-0.020-0.015-0.000-0.056-0.017-0.0760.5770.0000.000-0.070-0.1090.048-0.043-0.0880.001-0.121-0.080-0.9880.9860.988-0.083-0.094-0.081-0.0030.9881.0000.7300.0200.9880.988-0.9880.9880.9880.9881.000
Spinner Temp. Avg. [°C]-0.7290.7280.7290.0140.0000.9200.1510.166-0.314-0.325-0.294-0.2710.7290.1540.1720.1820.152-0.1220.8950.9630.681-0.1640.626-0.030-0.0500.012-0.260-0.271-0.290-0.283-0.296-0.2890.1220.7280.729-0.223-0.2240.087-0.260-0.267-0.275-0.305-0.299-0.305-0.0450.4440.274-0.130-0.279-0.311-0.310-0.3120.000-0.328-0.326-0.318-0.280-0.328-0.325-0.312-0.279-0.209-0.184-0.0810.090-0.259-0.266-0.257-0.155-0.151-0.1420.7290.729-0.099-0.059-0.077-0.075-0.0110.029-0.2650.079-0.022-0.0120.0100.020-0.051-0.279-0.050-0.0320.6490.0000.000-0.276-0.2690.038-0.208-0.1860.033-0.328-0.233-0.7290.7210.727-0.307-0.298-0.306-0.0250.7290.7301.000-0.0100.7290.729-0.7290.7290.7290.7291.000
System Logs First Active Alarm No-0.0190.0190.019-0.3250.0000.011-0.063-0.0170.0890.0930.0810.1070.019-0.0660.2040.2020.207-0.060-0.021-0.0380.051-0.081-0.001-0.0810.7600.138-0.131-0.130-0.133-0.152-0.161-0.130-0.1440.0190.019-0.080-0.101-0.100-0.091-0.089-0.088-0.164-0.122-0.182-0.0120.014-0.007-0.103-0.152-0.139-0.138-0.1400.1130.0900.0700.083-0.096-0.133-0.117-0.139-0.117-0.104-0.043-0.0860.098-0.014-0.003-0.035-0.105-0.109-0.1110.0190.019-0.076-0.010-0.008-0.0181.000-0.931-0.084-0.100-0.463-0.077-0.9960.463-0.556-0.1520.000-0.060-0.0050.0000.000-0.223-0.068-0.093-0.104-0.049-0.015-0.133-0.081-0.0190.0180.019-0.166-0.122-0.183-0.0090.0190.020-0.0101.0000.0190.019-0.0190.0190.0190.0191.000
Total Active power [W]-1.0001.0001.0000.0650.0050.7800.2050.207-0.077-0.103-0.057-0.1161.0000.204-0.0090.004-0.011-0.0620.7840.8100.5720.0050.7810.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2021.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.118-0.113-0.075-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0050.005-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.079-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Total hour counter [h]-1.0001.0001.0000.0650.0010.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.090-0.088-0.0910.023-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0010.001-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Total reactive power [var]1.000-1.000-1.000-0.0650.000-0.781-0.205-0.2070.0760.1030.0570.116-1.000-0.2030.009-0.0040.0110.062-0.785-0.810-0.573-0.004-0.781-0.095-0.019-0.0090.0440.0530.0680.0680.0540.066-0.201-1.000-1.0000.0060.011-0.2050.0400.0450.0510.0810.0900.0770.004-0.380-0.362-0.0390.0550.0890.0870.0900.0150.0950.0980.1130.0730.1160.1180.1130.0740.0420.078-0.0250.0200.1390.1910.145-0.025-0.027-0.033-1.000-1.0000.067-0.129-0.119-0.121-0.0190.0100.084-0.055-0.0140.0040.0190.0160.0050.0530.0150.077-0.5810.0000.0000.0690.103-0.0440.0400.082-0.0010.1160.0741.000-0.998-0.9990.0790.0880.078-0.002-1.000-0.988-0.729-0.019-1.000-1.0001.000-1.000-1.000-1.0001.000
Turbine ok hours [h]-1.0001.0001.0000.0650.0000.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.090-0.088-0.0910.022-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0000.000-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.080-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Wind ok hours [h]-1.0001.0001.0000.0650.0050.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7810.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.022-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.041-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.015-0.0760.5810.0050.005-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.079-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
Yaw hours [h]-1.0001.0001.0000.0650.0000.7800.2050.207-0.077-0.103-0.057-0.1161.0000.203-0.0090.004-0.011-0.0620.7840.8100.5720.0040.7800.0950.0190.009-0.045-0.053-0.068-0.068-0.055-0.0660.2011.0001.000-0.006-0.0110.205-0.040-0.045-0.051-0.082-0.091-0.077-0.0040.3790.3620.039-0.056-0.089-0.088-0.0910.022-0.096-0.099-0.113-0.074-0.117-0.119-0.113-0.075-0.042-0.0780.025-0.021-0.140-0.192-0.1460.0250.0270.0331.0001.000-0.0660.1300.1190.1210.019-0.010-0.0840.0560.014-0.004-0.019-0.016-0.005-0.053-0.014-0.0760.5810.0000.000-0.069-0.1040.044-0.039-0.0830.001-0.117-0.075-1.0000.9980.999-0.079-0.089-0.0790.0021.0000.9880.7290.0191.0001.000-1.0001.0001.0001.0001.000
missing_data1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2025-05-15T14:29:25.100738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-15T14:29:25.851919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-15T14:29:29.193800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
02020-01-01 00:00:001067.01040.01050.04.042.040.042.043.024.054.029.050.0999.0999.054.048.00.056.057.056.070.065.024.010.010.29.910.00.06.83.54.90.4-3.76.35.00.033.033.034.034.0155.81.050.0568.5566.4564.398.881.196.0205.1105.224.020.80.00.2-0.50.0155.0205.0104.020.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.024.017.033.065.031.010.0999.0-1.0-2.6-1.90.332.035.033.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161488800.0138792576.0136375744.0136378880.0132408192.056803112.049101016.05729342.01713794.0134551632.0100460272.00.00.025851.025851.00.00.00.00.0-107149.029311464.03421024.032625340.0-95604.0270.01765.0-93568.00.00.00.0False
12020-01-01 00:10:001058.01038.01049.03.042.040.041.042.020.053.028.051.0999.0999.053.048.00.055.056.056.070.065.024.010.010.19.910.00.06.03.24.40.4-2.97.15.00.031.031.033.032.0102.41.050.0568.8566.7564.467.349.765.3159.855.122.019.40.00.7-0.80.0101.0160.054.019.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.024.017.030.064.030.09.0999.0-0.6-2.4-1.20.332.035.033.039.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161488800.0138793184.0136376352.0136379488.0132408792.056803112.049101616.05729342.01713794.0134552224.0100460872.00.00.017227.017227.00.00.00.00.0-107149.029311464.03421041.032625356.0-95604.0270.01765.0-93568.00.00.00.0False
22020-01-01 00:20:001064.01041.01050.03.042.040.041.042.024.053.029.051.0999.0999.053.049.00.055.056.056.069.065.025.010.010.29.910.00.06.73.04.90.5-3.56.55.00.033.032.034.033.0150.01.050.0569.8567.6565.695.177.592.4200.993.224.026.10.00.8-0.70.0149.0201.093.026.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.024.017.031.064.031.010.0999.0-0.9-2.6-1.80.432.035.033.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161492400.0138793776.0136376944.0136380080.0132409392.056803112.049102216.05729342.01713794.0134552832.0100461472.00.00.024824.024824.00.00.00.00.0-107149.029311464.03421066.032625382.0-95604.0270.01765.0-93568.00.00.00.0False
32020-01-01 00:30:001060.01036.01049.04.042.040.041.042.024.053.028.052.0999.0999.053.048.00.056.056.056.069.065.025.010.010.19.910.00.06.93.64.80.4-5.44.65.00.032.032.033.033.0152.21.050.0569.7567.4565.496.278.993.7215.087.024.022.70.00.2-0.70.0151.0216.086.022.00.00.00.00.00.00.00.00.03000.011.00.01.011.017.024.017.034.064.030.010.0999.0-0.9-2.5-1.80.332.035.033.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161492400.0138794384.0136377536.0136380688.0132409992.056803112.049102816.05729342.01713794.0134553424.0100462072.00.00.025290.025290.00.00.00.00.0-107149.029311464.03421091.032625408.0-95604.0270.01765.0-93568.00.00.00.0False
42020-01-01 00:40:001100.01039.01053.09.042.040.041.042.019.053.028.052.0999.0999.053.048.00.056.056.056.069.065.023.010.010.59.910.00.06.83.65.00.5-3.26.85.00.032.032.033.033.0159.01.050.0570.9568.4566.5100.082.997.5219.8105.822.025.70.00.6-0.80.0158.0219.0104.025.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.024.018.032.064.031.09.0999.0-1.1-2.7-1.90.432.034.033.037.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161492400.0138794976.0136378144.0136381280.0132410592.056803112.049103420.05729342.01713794.0134554032.0100462672.00.00.026433.026433.00.00.00.00.0-107149.029311464.03421118.032625434.0-95604.0270.01765.0-93568.00.00.00.0False
52020-01-01 00:50:001112.01041.01054.011.042.040.041.042.024.053.029.052.0999.0999.054.049.00.056.056.056.069.065.024.010.010.69.910.00.16.93.65.10.5-4.85.25.00.033.032.034.033.0169.11.050.0571.9569.4567.5105.988.6103.1266.3109.223.031.80.00.6-0.80.0168.0266.0108.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.017.030.064.031.010.0999.0-1.1-2.8-2.00.332.034.033.044.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161492400.0138795584.0136378752.0136381888.0132411192.056803112.049104016.05729342.01713794.0134554624.0100463272.00.00.028367.028367.00.00.00.00.0-107149.029311464.03421146.032625462.0-95604.0270.01765.0-93568.00.00.00.0False
62020-01-01 01:00:001125.01040.01059.019.042.040.041.042.025.053.028.053.0999.0999.053.048.00.055.056.056.069.065.025.010.010.79.910.10.17.12.74.90.6-2.27.85.00.031.031.033.032.0154.71.050.0571.9569.6567.597.580.194.9286.860.125.056.40.00.7-0.60.0154.0287.060.056.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.017.034.064.030.010.0999.0-0.7-2.8-1.80.632.035.033.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161492400.0138796176.0136379344.0136382480.0132411792.056803112.049104616.05729342.01713794.0134555232.0100463872.00.00.025571.025571.00.00.00.00.0-107149.029311464.03421172.032625488.0-95604.0270.01765.0-93568.00.00.00.0False
72020-01-01 01:10:001065.01037.01050.04.042.040.041.042.021.053.029.053.0999.0999.053.048.00.056.056.056.069.065.024.010.010.29.910.00.06.73.74.90.4-8.41.65.00.033.033.034.034.0148.01.050.0571.1569.0567.293.576.890.3186.894.423.021.20.00.4-0.50.0147.0186.093.021.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.017.033.065.031.09.0999.0-1.1-2.6-1.80.332.034.033.040.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161492400.0138796784.0136379936.0136383088.0132412392.056803112.049105216.05729342.01713794.0134555824.0100464472.00.00.024829.024829.00.00.00.00.0-107149.029311464.03421196.032625512.0-95604.0270.01765.0-93568.00.00.00.0False
82020-01-01 01:20:001199.01043.01081.039.042.040.041.042.023.053.028.053.0999.0999.053.049.00.056.056.056.069.065.024.0147.811.49.910.30.37.73.65.40.6-7.9357.85.00.033.032.033.033.0214.61.050.0572.2569.7567.7132.2115.3129.3307.182.023.044.80.00.4-0.70.0214.0307.072.045.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.017.030.065.030.09.0999.0-1.3-2.8-2.30.332.034.033.044.0600.0600.0600.0600.0600.00.0600.022.00.0600.0600.00.0161496000.0138797376.0136380544.0136383680.0132412992.056803112.049105816.05729365.01713794.0134556432.0100465072.00.00.035616.035616.00.00.00.00.0-107149.029311464.03421232.032625548.0-95604.0270.01765.0-93568.00.00.00.0False
92020-01-01 01:30:001203.01044.01092.042.042.040.042.043.025.054.029.054.0999.0999.054.049.00.057.057.057.070.065.025.0359.511.510.010.40.47.53.95.60.6-7.1352.45.00.033.032.034.033.0225.91.050.0573.2570.8568.5138.6121.8135.7372.8131.825.052.00.00.7-0.80.0225.0371.0131.052.00.00.00.00.00.00.00.00.03000.011.00.01.011.016.023.017.033.065.031.010.0999.0-1.3-2.8-2.40.232.035.033.045.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0161496000.0138797984.0136381152.0136384288.0132413592.056803112.049106416.05729365.01713794.0134557024.0100465672.00.00.037832.037832.00.00.00.00.0-107149.029311464.03421270.032625584.0-95604.0270.01765.0-93568.00.00.00.0False
TimestampGenerator RPM Max. [RPM]Generator RPM Min. [RPM]Generator RPM Avg. [RPM]Generator RPM StdDev [RPM]Generator Bearing Temp. Avg. [°C]Generator Phase1 Temp. Avg. [°C]Generator Phase2 Temp. Avg. [°C]Generator Phase3 Temp. Avg. [°C]Generator SlipRing Temp. Avg. [°C]Generator Bearing2 Temp. Avg. [°C]Generator CoolingWater Temp. Avg. [°C]Hydraulic Oil Temp. Avg. [°C]Gear Oil Temp. Avg. [°C]Gear Bearing Temp. Avg. [°C]Gear Oil TemperatureBasis Avg. [°C]Gear Oil TemperatureLevel1 Avg. [°C]Gear Oil TemperatureLevel2_3 Avg. [°C]Gear Bearing TemperatureHSRotorEnd Avg. [°C]Gear Bearing TemperatureHSGeneratorEnd Avg. [°C]Gear Bearing TemperatureHSMiddle Avg. [°C]Gear Bearing TemperatureHollowShaftRotor Avg. [°C]Gear Bearing TemperatureHollowShaftGenerator Avg. [°C]Nacelle Temp. Avg. [°C]Avg. direction [°]Rotor RPM Max. [RPM]Rotor RPM Min. [RPM]Rotor RPM Avg. [RPM]Rotor RPM StdDev [RPM]Ambient WindSpeed Max. [m/s]Ambient WindSpeed Min. [m/s]Ambient WindSpeed Avg. [m/s]Ambient WindSpeed StdDev [m/s]Ambient WindDir Relative Avg. [°]Ambient WindDir Absolute Avg. [°]Ambient Temp. Avg. [°C]Ambient WindSpeed Estimated Avg. [m/s]Grid InverterPhase1 Temp. Avg. [°C]Grid RotorInvPhase1 Temp. Avg. [°C]Grid RotorInvPhase2 Temp. Avg. [°C]Grid RotorInvPhase3 Temp. Avg. [°C]Grid Production Power Avg. [W]Grid Production CosPhi Avg.Grid Production Frequency Avg. [Hz]Grid Production VoltagePhase1 Avg. [V]Grid Production VoltagePhase2 Avg. [V]Grid Production VoltagePhase3 Avg. [V]Grid Production CurrentPhase1 Avg. [A]Grid Production CurrentPhase2 Avg. [A]Grid Production CurrentPhase3 Avg. [A]Grid Production Power Max. [W]Grid Production Power Min. [W]Grid Busbar Temp. Avg. [°C]Grid Production Power StdDev [W]Grid Production ReactivePower Avg. [W]Grid Production ReactivePower Max. [W]Grid Production ReactivePower Min. [W]Grid Production ReactivePower StdDev [W]Grid Production PossiblePower Avg. [W]Grid Production PossiblePower Max. [W]Grid Production PossiblePower Min. [W]Grid Production PossiblePower StdDev [W]Grid Production PossibleInductive Avg. [var]Grid Production PossibleInductive Max. [var]Grid Production PossibleInductive Min. [var]Grid Production PossibleInductive StdDev [var]Grid Production PossibleCapacitive Avg. [var]Grid Production PossibleCapacitive Max. [var]Grid Production PossibleCapacitive Min. [var]Grid Production PossibleCapacitive StdDev [var]Active power limit [W]Active power limit sourceReactive power set point [var]Power factor set pointPower factor set point sourceController Ground Temp. Avg. [°C]Controller Top Temp. Avg. [°C]Controller Hub Temp. Avg. [°C]Controller VCP Temp. Avg. [°C]Controller VCP ChokecoilTemp. Avg. [°C]Controller VCP WaterTemp. Avg. [°C]Spinner Temp. Avg. [°C]Spinner Temp. SlipRing Avg. [°C]Blades PitchAngle Min. [°]Blades PitchAngle Max. [°]Blades PitchAngle Avg. [°]Blades PitchAngle StdDev [°]HVTrafo Phase1 Temp. Avg. [°C]HVTrafo Phase2 Temp. Avg. [°C]HVTrafo Phase3 Temp. Avg. [°C]HVTrafo AirOutlet Temp. Avg. [°C]HourCounters Average Total Avg. [h]HourCounters Average GridOn Avg. [h]HourCounters Average GridOk Avg. [h]HourCounters Average TurbineOk Avg. [h]HourCounters Average Run Avg. [h]HourCounters Average Gen1 Avg. [h]HourCounters Average Gen2 Avg. [h]HourCounters Average Yaw Avg. [h]HourCounters Average ServiceOn Avg. [h]HourCounters Average AmbientOk Avg. [h]HourCounters Average WindOk Avg. [h]HourCounters Average AlarmActive Avg. [h]Total hour counter [h]Grid on hours [h]Grid ok hours [h]Turbine ok hours [h]Run hours [h]Generator 1 hours [h]Generator 2 hours [h]Yaw hours [h]Service hours [h]Ambient ok hours [h]Wind ok hours [h]Production LatestAverage Active Power Gen 0 Avg. [W]Production LatestAverage Active Power Gen 1 Avg. [W]Production LatestAverage Active Power Gen 2 Avg. [W]Production LatestAverage Total Active Power Avg. [W]Production LatestAverage Reactive Power Gen 0 Avg. [var]Production LatestAverage Reactive Power Gen 1 Avg. [var]Production LatestAverage Reactive Power Gen 2 Avg. [var]Production LatestAverage Total Reactive Power Avg. [var]Active power generator 0, Total accumulated [W]Active power generator 1, Total accumulated [W]Active power generator 2, Total accumulated [W]Total Active power [W]Reactive power generator 0,Total accumulated [var]Reactive power generator 1, Total accumulated [var]Reactive power generator 2, Total accumulated [var]Total reactive power [var]System Logs First Active Alarm NoFirst Alarm parameter 1 in 10 min frameFirst Alarm parameter 2 in 10 min framemissing_data
261982020-06-30 22:20:001511.01366.01440.032.051.047.049.050.032.062.034.054.0999.0999.057.049.00.065.064.062.075.068.034.0103.814.413.013.70.38.66.67.60.32.72.424.00.035.037.038.038.0544.81.050.0571.6568.6562.8325.2309.1322.9689.6402.835.044.60.00.4-0.50.0544.0691.0400.045.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.038.048.069.035.027.0999.0-2.3-2.8-2.50.040.042.040.041.0600.0600.0600.0600.0600.00.0600.013.00.0600.0600.00.0177210000.0154508656.0152047376.0152030528.0147924656.063448840.055392224.06366184.01758186.0150091984.0112512160.00.00.090593.090593.00.00.00.00.0-116528.032502864.03864189.036250528.0-103609.0288.01834.0-101487.00.00.00.0False
261992020-06-30 22:30:001529.01314.01428.039.051.047.049.050.032.063.035.049.0999.0999.058.049.00.065.065.062.075.068.034.01.614.612.513.60.38.86.67.50.31.53.124.00.036.038.039.039.0524.81.050.0573.4570.3564.3312.5296.5310.4635.6387.435.048.40.00.4-0.50.0524.0651.0382.048.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.038.048.069.036.027.0999.0-2.3-2.8-2.50.040.043.040.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177210000.0154509264.0152047968.0152031136.0147925264.063448840.055392824.06366184.01758186.0150092592.0112512760.00.00.087953.087953.00.00.00.00.0-116528.032502864.03864277.036250616.0-103609.0288.01834.0-101487.00.00.00.0False
262002020-06-30 22:40:001421.01308.01366.020.052.047.049.050.031.064.034.044.0999.0999.057.049.00.064.064.062.075.068.034.01.613.612.513.00.28.36.57.20.21.02.624.00.036.037.038.038.0446.81.050.0574.1570.7563.8266.6251.0264.9518.8368.935.030.20.00.6-0.80.0446.0519.0373.030.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.037.048.069.036.027.0999.0-2.4-2.7-2.50.040.043.040.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177210000.0154509856.0152048576.0152031728.0147925856.063448840.055393424.06366184.01758186.0150093184.0112513360.00.00.074380.074380.00.00.00.00.0-116528.032502864.03864351.036250688.0-103609.0288.01834.0-101487.00.00.00.0False
262012020-06-30 22:50:001393.01086.01342.041.052.047.049.050.031.064.034.047.0999.0999.057.049.00.064.064.062.075.068.034.01.613.310.412.80.38.24.67.00.3-0.51.124.00.035.036.038.037.0416.11.050.0574.3570.8563.5247.9232.6247.8514.4266.535.032.20.00.2-0.40.0415.0520.0233.033.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.037.048.068.035.027.0999.0-1.6-2.8-2.50.140.043.040.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177210000.0154510464.0152049168.0152032320.0147926464.063448840.055394024.06366184.01758186.0150093792.0112513960.00.00.069813.069813.00.00.00.00.0-116528.032502864.03864421.036250760.0-103609.0288.01834.0-101487.00.00.00.0False
262022020-06-30 23:00:001462.01108.01383.046.052.047.049.050.031.064.034.049.0999.0999.057.049.00.064.064.062.075.068.034.01.614.010.513.10.48.56.67.30.32.13.724.00.036.037.038.038.0459.31.050.0575.3571.5564.5272.6257.4272.8564.6165.035.051.10.00.3-0.60.0459.0563.0164.051.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.037.048.068.035.027.0999.0-2.4-2.8-2.50.040.043.040.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177210000.0154511056.0152049776.0152032928.0147927056.063448840.055394624.06366184.01758186.0150094384.0112514560.00.00.076086.076086.00.00.00.00.0-116528.032502864.03864497.036250832.0-103609.0288.01834.0-101487.00.00.00.0False
262032020-06-30 23:10:001451.01306.01392.034.052.047.049.050.031.064.035.050.0999.0999.057.049.00.064.064.062.075.068.034.07.613.912.413.20.38.26.37.30.31.99.523.00.037.038.040.039.0461.21.050.0575.9572.2565.1273.2258.2273.4582.6352.635.040.90.00.5-0.50.0460.0584.0352.041.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.037.048.068.037.026.0999.0-2.3-2.8-2.50.040.043.040.042.0600.0600.0600.0600.0600.00.0600.016.00.0600.0600.00.0177210000.0154511664.0152050368.0152033536.0147927664.063448840.055395224.06366200.01758186.0150094992.0112515160.00.00.076768.076768.00.00.00.00.0-116528.032502864.03864574.036250912.0-103609.0288.01834.0-101487.00.00.00.0False
262042020-06-30 23:20:001367.01185.01255.035.052.047.049.050.031.064.034.052.0999.0999.057.049.00.063.063.061.074.067.034.09.713.011.311.90.37.85.16.60.2-1.18.623.00.036.036.038.037.0345.91.050.0575.1571.0564.9206.1191.8207.0442.8266.735.033.70.00.2-0.50.0345.0447.0266.034.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.036.048.068.035.026.0999.0-2.4-2.7-2.50.041.043.040.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177213600.0154512256.0152050976.0152034128.0147928256.063448840.055395824.06366200.01758186.0150095584.0112515760.00.00.058003.058003.00.00.00.00.0-116528.032502864.03864632.036250968.0-103609.0288.01834.0-101487.00.00.00.0False
262052020-06-30 23:30:001251.01138.01203.024.052.046.048.049.031.063.035.053.0999.0999.056.049.00.061.062.060.072.067.034.09.711.910.911.40.27.05.66.30.2-2.27.524.00.038.038.039.039.0309.81.050.0574.0569.3564.5184.9171.7186.3378.6222.334.027.00.00.2-0.40.0309.0379.0222.027.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.036.048.069.037.026.0999.0-2.4-2.7-2.50.041.043.040.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177213600.0154512864.0152051568.0152034720.0147928864.063448840.055396424.06366200.01758186.0150096192.0112516360.00.00.051700.051700.00.00.00.00.0-116528.032502864.03864683.036251020.0-103609.0288.01834.0-101487.00.00.00.0False
262062020-06-30 23:40:001220.01089.01166.023.052.046.048.049.031.062.035.054.0999.0999.056.049.00.061.062.060.072.067.034.09.711.610.411.10.27.15.26.10.2-0.49.324.00.038.037.039.038.0283.01.050.0572.4567.8564.0169.4156.7170.9359.0193.334.030.70.00.6-0.80.0282.0359.0194.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.036.048.069.037.026.0999.0-2.3-2.8-2.50.041.043.041.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177213600.0154513456.0152052176.0152035328.0147929456.063448840.055397024.06366200.01758186.0150096784.0112516960.00.00.047376.047376.00.00.00.00.0-116528.032502864.03864731.036251068.0-103609.0288.01834.0-101487.00.00.00.0False
262072020-06-30 23:50:001218.01046.01117.045.051.046.048.049.031.061.035.049.0999.0999.056.049.00.060.061.059.071.066.034.09.711.610.010.60.46.94.95.80.30.310.024.00.038.037.038.038.0251.31.050.0570.3565.6563.0151.4138.8152.4336.7177.334.031.50.00.4-0.60.0250.0337.0177.031.00.00.00.00.00.00.00.00.03000.011.00.01.011.034.034.036.048.070.037.026.0999.0-2.3-2.8-2.50.041.043.041.042.0600.0600.0600.0600.0600.00.0600.00.00.0600.0600.00.0177213600.0154514064.0152052768.0152035920.0147930064.063448840.055397624.06366200.01758186.0150097392.0112517560.00.00.041820.041820.00.00.00.00.0-116528.032502864.03864773.036251112.0-103609.0288.01834.0-101487.00.00.00.0False